前書き
LinuxディストリビューションのCenOSにJupyter Notebookを使用して、Python、Pythonのライブラリであるscikit-learn、Tensorflowやkeras等を使って機械学習のプログラムを作成できる機械学習の開発環境を作成する手順を紹介したいと思います。
色々とインストールするものがあるため、数回に渡って投稿したいと思います。
第一回目はAnacondaのインストールし、機械学習専用のAnacondaの仮想環境を作成する手順の紹介となります。
再現性を考慮して、実行ログもそのまま載せています。長くて見づらい部分がありますがご容赦願います。
環境
- OS：CentOS Linux release 7.7.1908
手順
1. アップデート
rootユーザーでログインしアップデートする。
1.1 yumコマンドでアップデートをチェックする。
yum check-update
コマンド実行結果
[root@CENTOS7 ~]# yum check-update
読み込んだプラグイン:fastestmirror
Determining fastest mirrors
* base: ty1.mirror.newmediaexpress.com
* extras: ty1.mirror.newmediaexpress.com
* updates: ty1.mirror.newmediaexpress.com
base | 3.6 kB 00:00
extras | 2.9 kB 00:00
updates | 2.9 kB 00:00
(1/4): extras/7/x86_64/primary_db | 152 kB 00:02
(2/4): base/7/x86_64/group_gz | 165 kB 00:06
(3/4): updates/7/x86_64/primary_db | 1.9 MB 00:29
(4/4): base/7/x86_64/primary_db | 6.0 MB 00:53
NetworkManager.x86_64 1:1.18.0-5.el7_7.1 updates
NetworkManager-libnm.x86_64 1:1.18.0-5.el7_7.1 updates
NetworkManager-team.x86_64 1:1.18.0-5.el7_7.1 updates
NetworkManager-tui.x86_64 1:1.18.0-5.el7_7.1 updates
firewalld.noarch 0.6.3-2.el7_7.1 updates
firewalld-filesystem.noarch 0.6.3-2.el7_7.1 updates
kernel.x86_64 3.10.0-1062.1.2.el7 updates
kernel-tools.x86_64 3.10.0-1062.1.2.el7 updates
kernel-tools-libs.x86_64 3.10.0-1062.1.2.el7 updates
krb5-libs.x86_64 1.15.1-37.el7_7.2 updates
polkit.x86_64 0.112-22.el7_7.1 updates
python-firewall.noarch 0.6.3-2.el7_7.1 updates
python-perf.x86_64 3.10.0-1062.1.2.el7 updates
rsyslog.x86_64 8.24.0-41.el7_7 updates
selinux-policy.noarch 3.13.1-252.el7.1 updates
selinux-policy-targeted.noarch 3.13.1-252.el7.1 updates
sg3_utils.x86_64 1.37-18.el7_7.1 updates
sg3_utils-libs.x86_64 1.37-18.el7_7.1 updates
systemd.x86_64 219-67.el7_7.1 updates
systemd-libs.x86_64 219-67.el7_7.1 updates
systemd-sysv.x86_64 219-67.el7_7.1 updates
tuned.noarch 2.11.0-5.el7_7.1 updates
tzdata.noarch 2019c-1.el7 updates
[root@CENTOS7 ~]#
1.2 アップデートが存在する場合アップデートする。
yum update
コマンド実行結果
[root@CENTOS7 ~]# yum update
読み込んだプラグイン:fastestmirror
Loading mirror speeds from cached hostfile
* base: ty1.mirror.newmediaexpress.com
* extras: ty1.mirror.newmediaexpress.com
* updates: ty1.mirror.newmediaexpress.com
依存性の解決をしています
--> トランザクションの確認を実行しています。
---> パッケージ NetworkManager.x86_64 1:1.18.0-5.el7 を 更新
---> パッケージ NetworkManager.x86_64 1:1.18.0-5.el7_7.1 を アップデート
---> パッケージ NetworkManager-libnm.x86_64 1:1.18.0-5.el7 を 更新
---> パッケージ NetworkManager-libnm.x86_64 1:1.18.0-5.el7_7.1 を アップデート
---> パッケージ NetworkManager-team.x86_64 1:1.18.0-5.el7 を 更新
---> パッケージ NetworkManager-team.x86_64 1:1.18.0-5.el7_7.1 を アップデート
---> パッケージ NetworkManager-tui.x86_64 1:1.18.0-5.el7 を 更新
---> パッケージ NetworkManager-tui.x86_64 1:1.18.0-5.el7_7.1 を アップデート
---> パッケージ firewalld.noarch 0:0.6.3-2.el7 を 更新
---> パッケージ firewalld.noarch 0:0.6.3-2.el7_7.1 を アップデート
---> パッケージ firewalld-filesystem.noarch 0:0.6.3-2.el7 を 更新
---> パッケージ firewalld-filesystem.noarch 0:0.6.3-2.el7_7.1 を アップデート
---> パッケージ kernel.x86_64 0:3.10.0-1062.1.2.el7 を インストール
---> パッケージ kernel-tools.x86_64 0:3.10.0-1062.el7 を 更新
---> パッケージ kernel-tools.x86_64 0:3.10.0-1062.1.2.el7 を アップデート
---> パッケージ kernel-tools-libs.x86_64 0:3.10.0-1062.el7 を 更新
---> パッケージ kernel-tools-libs.x86_64 0:3.10.0-1062.1.2.el7 を アップデート
---> パッケージ krb5-libs.x86_64 0:1.15.1-37.el7_6 を 更新
---> パッケージ krb5-libs.x86_64 0:1.15.1-37.el7_7.2 を アップデート
---> パッケージ polkit.x86_64 0:0.112-22.el7 を 更新
---> パッケージ polkit.x86_64 0:0.112-22.el7_7.1 を アップデート
---> パッケージ python-firewall.noarch 0:0.6.3-2.el7 を 更新
---> パッケージ python-firewall.noarch 0:0.6.3-2.el7_7.1 を アップデート
---> パッケージ python-perf.x86_64 0:3.10.0-1062.el7 を 更新
---> パッケージ python-perf.x86_64 0:3.10.0-1062.1.2.el7 を アップデート
---> パッケージ rsyslog.x86_64 0:8.24.0-38.el7 を 更新
---> パッケージ rsyslog.x86_64 0:8.24.0-41.el7_7 を アップデート
---> パッケージ selinux-policy.noarch 0:3.13.1-252.el7 を 更新
---> パッケージ selinux-policy.noarch 0:3.13.1-252.el7.1 を アップデート
---> パッケージ selinux-policy-targeted.noarch 0:3.13.1-252.el7 を 更新
---> パッケージ selinux-policy-targeted.noarch 0:3.13.1-252.el7.1 を アップデー ト
---> パッケージ sg3_utils.x86_64 0:1.37-18.el7 を 更新
---> パッケージ sg3_utils.x86_64 0:1.37-18.el7_7.1 を アップデート
---> パッケージ sg3_utils-libs.x86_64 0:1.37-18.el7 を 更新
---> パッケージ sg3_utils-libs.x86_64 0:1.37-18.el7_7.1 を アップデート
---> パッケージ systemd.x86_64 0:219-67.el7 を 更新
---> パッケージ systemd.x86_64 0:219-67.el7_7.1 を アップデート
---> パッケージ systemd-libs.x86_64 0:219-67.el7 を 更新
---> パッケージ systemd-libs.x86_64 0:219-67.el7_7.1 を アップデート
---> パッケージ systemd-sysv.x86_64 0:219-67.el7 を 更新
---> パッケージ systemd-sysv.x86_64 0:219-67.el7_7.1 を アップデート
---> パッケージ tuned.noarch 0:2.11.0-5.el7 を 更新
---> パッケージ tuned.noarch 0:2.11.0-5.el7_7.1 を アップデート
---> パッケージ tzdata.noarch 0:2019b-1.el7 を 更新
---> パッケージ tzdata.noarch 0:2019c-1.el7 を アップデート
--> 依存性解決を終了しました。
依存性を解決しました
================================================================================
Package アーキテクチャー
バージョン リポジトリー
容量
================================================================================
インストール中:
kernel x86_64 3.10.0-1062.1.2.el7 updates 50 M
更新します:
NetworkManager x86_64 1:1.18.0-5.el7_7.1 updates 1.9 M
NetworkManager-libnm x86_64 1:1.18.0-5.el7_7.1 updates 1.7 M
NetworkManager-team x86_64 1:1.18.0-5.el7_7.1 updates 163 k
NetworkManager-tui x86_64 1:1.18.0-5.el7_7.1 updates 326 k
firewalld noarch 0.6.3-2.el7_7.1 updates 441 k
firewalld-filesystem noarch 0.6.3-2.el7_7.1 updates 50 k
kernel-tools x86_64 3.10.0-1062.1.2.el7 updates 7.8 M
kernel-tools-libs x86_64 3.10.0-1062.1.2.el7 updates 7.7 M
krb5-libs x86_64 1.15.1-37.el7_7.2 updates 805 k
polkit x86_64 0.112-22.el7_7.1 updates 170 k
python-firewall noarch 0.6.3-2.el7_7.1 updates 352 k
python-perf x86_64 3.10.0-1062.1.2.el7 updates 7.8 M
rsyslog x86_64 8.24.0-41.el7_7 updates 616 k
selinux-policy noarch 3.13.1-252.el7.1 updates 492 k
selinux-policy-targeted noarch 3.13.1-252.el7.1 updates 7.0 M
sg3_utils x86_64 1.37-18.el7_7.1 updates 646 k
sg3_utils-libs x86_64 1.37-18.el7_7.1 updates 65 k
systemd x86_64 219-67.el7_7.1 updates 5.1 M
systemd-libs x86_64 219-67.el7_7.1 updates 411 k
systemd-sysv x86_64 219-67.el7_7.1 updates 88 k
tuned noarch 2.11.0-5.el7_7.1 updates 268 k
tzdata noarch 2019c-1.el7 updates 493 k
トランザクションの要約
================================================================================
インストール 1 パッケージ
更新 22 パッケージ
総ダウンロード容量: 94 M
Is this ok [y/d/N]: y
Downloading packages:
Delta RPMs disabled because /usr/bin/applydeltarpm not installed.
警告: /var/cache/yum/x86_64/7/updates/packages/NetworkManager-team-1.18.0-5.el7_7.1.x86_64.rpm: ヘッダー V3 RSA/SHA256 Signature、鍵 ID f4a80eb5: NOKEY
NetworkManager-team-1.18.0-5.el7_7.1.x86_64.rpm の公開鍵がインストールされていません
(1/23): NetworkManager-team-1.18.0-5.el7_7.1.x86_64.rpm | 163 kB 00:03
(2/23): NetworkManager-tui-1.18.0-5.el7_7.1.x86_64.rpm | 326 kB 00:08
(3/23): firewalld-filesystem-0.6.3-2.el7_7.1.noarch.rpm | 50 kB 00:05
(4/23): firewalld-0.6.3-2.el7_7.1.noarch.rpm | 441 kB 00:10
kernel-tools-3.10.0-1062.1.2.e FAILED
http://ftp.tsukuba.wide.ad.jp/Linux/centos/7.7.1908/updates/x86_64/Packages/kernel-tools-3.10.0-1062.1.2.el7.x86_64.rpm: [Errno 14] curl#18 - "transfer closed with 7325983 bytes remaining to read"
他のミラーを試します。
(5/23): krb5-libs-1.15.1-37.el7_7.2.x86_64.rpm | 805 kB 00:17
(6/23): polkit-0.112-22.el7_7.1.x86_64.rpm | 170 kB 00:06
(7/23): NetworkManager-libnm-1.18.0-5.el7_7.1.x86_64.rpm | 1.7 MB 01:13
(8/23): python-firewall-0.6.3-2.el7_7.1.noarch.rpm | 352 kB 00:11
(9/23): NetworkManager-1.18.0-5.el7_7.1.x86_64.rpm | 1.9 MB 01:35
(10/23): rsyslog-8.24.0-41.el7_7.x86_64.rpm | 616 kB 00:17
(11/23): selinux-policy-3.13.1-252.el7.1.noarch.rpm | 492 kB 00:23
(12/23): sg3_utils-1.37-18.el7_7.1.x86_64.rpm | 646 kB 00:21
(13/23): sg3_utils-libs-1.37-18.el7_7.1.x86_64.rpm | 65 kB 00:03
(14/23): python-perf-3.10.0-1062.1.2.el7.x86_64.rpm | 7.8 MB 02:37
(15/23): kernel-tools-libs-3.10.0-1062.1.2.el7.x86_64.rpm | 7.7 MB 03:51
(16/23): systemd-sysv-219-67.el7_7.1.x86_64.rpm | 88 kB 00:03
(17/23): systemd-libs-219-67.el7_7.1.x86_64.rpm | 411 kB 00:15
(18/23): tuned-2.11.0-5.el7_7.1.noarch.rpm | 268 kB 00:06
(19/23): tzdata-2019c-1.el7.noarch.rpm | 493 kB 00:15
(20/23): selinux-policy-targeted-3.13.1-252.el7.1.noarch.r | 7.0 MB 03:27
(21/23): kernel-tools-3.10.0-1062.1.2.el7.x86_64.rpm | 7.8 MB 01:35
(22/23): systemd-219-67.el7_7.1.x86_64.rpm | 5.1 MB 03:38
(23/23): kernel-3.10.0-1062.1.2.el7.x86_64.rpm | 50 MB 09:40
--------------------------------------------------------------------------------
合計 163 kB/s | 94 MB 09:49
file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-7 から鍵を取得中です。
Importing GPG key 0xF4A80EB5:
Userid : "CentOS-7 Key (CentOS 7 Official Signing Key) <security@centos.org>"
Fingerprint: 6341 ab27 53d7 8a78 a7c2 7bb1 24c6 a8a7 f4a8 0eb5
Package : centos-release-7-7.1908.0.el7.centos.x86_64 (@anaconda)
From : /etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-7
上記の処理を行います。よろしいでしょうか？ [y/N]y
Running transaction check
Running transaction test
Transaction test succeeded
Running transaction
更新します : systemd-libs-219-67.el7_7.1.x86_64 1/45
更新します : systemd-219-67.el7_7.1.x86_64 2/45
更新します : polkit-0.112-22.el7_7.1.x86_64 3/45
更新します : 1:NetworkManager-libnm-1.18.0-5.el7_7.1.x86 4/45
更新します : 1:NetworkManager-1.18.0-5.el7_7.1.x86_64 5/45
更新します : python-perf-3.10.0-1062.1.2.el7.x86_64 6/45
更新します : firewalld-filesystem-0.6.3-2.el7_7.1.noarch 7/45
更新します : selinux-policy-3.13.1-252.el7.1.noarch 8/45
更新します : kernel-tools-libs-3.10.0-1062.1.2.el7.x86_6 9/45
更新します : python-firewall-0.6.3-2.el7_7.1.noarch 10/45
更新します : sg3_utils-libs-1.37-18.el7_7.1.x86_64 11/45
更新します : sg3_utils-1.37-18.el7_7.1.x86_64 12/45
更新します : firewalld-0.6.3-2.el7_7.1.noarch 13/45
更新します : kernel-tools-3.10.0-1062.1.2.el7.x86_64 14/45
更新します : selinux-policy-targeted-3.13.1-252.el7.1.no 15/45
更新します : tuned-2.11.0-5.el7_7.1.noarch 16/45
更新します : 1:NetworkManager-team-1.18.0-5.el7_7.1.x86_ 17/45
更新します : 1:NetworkManager-tui-1.18.0-5.el7_7.1.x86_6 18/45
更新します : rsyslog-8.24.0-41.el7_7.x86_64 19/45
更新します : systemd-sysv-219-67.el7_7.1.x86_64 20/45
インストール中 : kernel-3.10.0-1062.1.2.el7.x86_64 21/45
更新します : krb5-libs-1.15.1-37.el7_7.2.x86_64 22/45
更新します : tzdata-2019c-1.el7.noarch 23/45
整理中 : tuned-2.11.0-5.el7.noarch 24/45
整理中 : firewalld-0.6.3-2.el7.noarch 25/45
整理中 : selinux-policy-targeted-3.13.1-252.el7.noar 26/45
整理中 : systemd-sysv-219-67.el7.x86_64 27/45
整理中 : selinux-policy-3.13.1-252.el7.noarch 28/45
整理中 : firewalld-filesystem-0.6.3-2.el7.noarch 29/45
整理中 : python-firewall-0.6.3-2.el7.noarch 30/45
整理中 : tzdata-2019b-1.el7.noarch 31/45
整理中 : 1:NetworkManager-tui-1.18.0-5.el7.x86_64 32/45
整理中 : rsyslog-8.24.0-38.el7.x86_64 33/45
整理中 : sg3_utils-1.37-18.el7.x86_64 34/45
整理中 : kernel-tools-3.10.0-1062.el7.x86_64 35/45
整理中 : 1:NetworkManager-team-1.18.0-5.el7.x86_64 36/45
整理中 : 1:NetworkManager-1.18.0-5.el7.x86_64 37/45
整理中 : polkit-0.112-22.el7.x86_64 38/45
整理中 : systemd-219-67.el7.x86_64 39/45
整理中 : 1:NetworkManager-libnm-1.18.0-5.el7.x86_64 40/45
整理中 : systemd-libs-219-67.el7.x86_64 41/45
整理中 : kernel-tools-libs-3.10.0-1062.el7.x86_64 42/45
整理中 : sg3_utils-libs-1.37-18.el7.x86_64 43/45
整理中 : python-perf-3.10.0-1062.el7.x86_64 44/45
整理中 : krb5-libs-1.15.1-37.el7_6.x86_64 45/45
検証中 : tzdata-2019c-1.el7.noarch 1/45
検証中 : krb5-libs-1.15.1-37.el7_7.2.x86_64 2/45
検証中 : 1:NetworkManager-team-1.18.0-5.el7_7.1.x86_ 3/45
検証中 : firewalld-0.6.3-2.el7_7.1.noarch 4/45
検証中 : sg3_utils-libs-1.37-18.el7_7.1.x86_64 5/45
検証中 : polkit-0.112-22.el7_7.1.x86_64 6/45
検証中 : rsyslog-8.24.0-41.el7_7.x86_64 7/45
検証中 : 1:NetworkManager-libnm-1.18.0-5.el7_7.1.x86 8/45
検証中 : python-firewall-0.6.3-2.el7_7.1.noarch 9/45
検証中 : kernel-3.10.0-1062.1.2.el7.x86_64 10/45
検証中 : tuned-2.11.0-5.el7_7.1.noarch 11/45
検証中 : kernel-tools-libs-3.10.0-1062.1.2.el7.x86_6 12/45
検証中 : systemd-sysv-219-67.el7_7.1.x86_64 13/45
検証中 : kernel-tools-3.10.0-1062.1.2.el7.x86_64 14/45
検証中 : selinux-policy-targeted-3.13.1-252.el7.1.no 15/45
検証中 : 1:NetworkManager-1.18.0-5.el7_7.1.x86_64 16/45
検証中 : systemd-libs-219-67.el7_7.1.x86_64 17/45
検証中 : selinux-policy-3.13.1-252.el7.1.noarch 18/45
検証中 : systemd-219-67.el7_7.1.x86_64 19/45
検証中 : sg3_utils-1.37-18.el7_7.1.x86_64 20/45
検証中 : firewalld-filesystem-0.6.3-2.el7_7.1.noarch 21/45
検証中 : python-perf-3.10.0-1062.1.2.el7.x86_64 22/45
検証中 : 1:NetworkManager-tui-1.18.0-5.el7_7.1.x86_6 23/45
検証中 : systemd-sysv-219-67.el7.x86_64 24/45
検証中 : kernel-tools-libs-3.10.0-1062.el7.x86_64 25/45
検証中 : rsyslog-8.24.0-38.el7.x86_64 26/45
検証中 : firewalld-0.6.3-2.el7.noarch 27/45
検証中 : python-firewall-0.6.3-2.el7.noarch 28/45
検証中 : 1:NetworkManager-libnm-1.18.0-5.el7.x86_64 29/45
検証中 : systemd-219-67.el7.x86_64 30/45
検証中 : tuned-2.11.0-5.el7.noarch 31/45
検証中 : systemd-libs-219-67.el7.x86_64 32/45
検証中 : selinux-policy-targeted-3.13.1-252.el7.noar 33/45
検証中 : krb5-libs-1.15.1-37.el7_6.x86_64 34/45
検証中 : polkit-0.112-22.el7.x86_64 35/45
検証中 : python-perf-3.10.0-1062.el7.x86_64 36/45
検証中 : sg3_utils-libs-1.37-18.el7.x86_64 37/45
検証中 : tzdata-2019b-1.el7.noarch 38/45
検証中 : 1:NetworkManager-1.18.0-5.el7.x86_64 39/45
検証中 : firewalld-filesystem-0.6.3-2.el7.noarch 40/45
検証中 : kernel-tools-3.10.0-1062.el7.x86_64 41/45
検証中 : 1:NetworkManager-tui-1.18.0-5.el7.x86_64 42/45
検証中 : sg3_utils-1.37-18.el7.x86_64 43/45
検証中 : 1:NetworkManager-team-1.18.0-5.el7.x86_64 44/45
検証中 : selinux-policy-3.13.1-252.el7.noarch 45/45
インストール:
kernel.x86_64 0:3.10.0-1062.1.2.el7
更新:
NetworkManager.x86_64 1:1.18.0-5.el7_7.1
NetworkManager-libnm.x86_64 1:1.18.0-5.el7_7.1
NetworkManager-team.x86_64 1:1.18.0-5.el7_7.1
NetworkManager-tui.x86_64 1:1.18.0-5.el7_7.1
firewalld.noarch 0:0.6.3-2.el7_7.1
firewalld-filesystem.noarch 0:0.6.3-2.el7_7.1
kernel-tools.x86_64 0:3.10.0-1062.1.2.el7
kernel-tools-libs.x86_64 0:3.10.0-1062.1.2.el7
krb5-libs.x86_64 0:1.15.1-37.el7_7.2
polkit.x86_64 0:0.112-22.el7_7.1
python-firewall.noarch 0:0.6.3-2.el7_7.1
python-perf.x86_64 0:3.10.0-1062.1.2.el7
rsyslog.x86_64 0:8.24.0-41.el7_7
selinux-policy.noarch 0:3.13.1-252.el7.1
selinux-policy-targeted.noarch 0:3.13.1-252.el7.1
sg3_utils.x86_64 0:1.37-18.el7_7.1
sg3_utils-libs.x86_64 0:1.37-18.el7_7.1
systemd.x86_64 0:219-67.el7_7.1
systemd-libs.x86_64 0:219-67.el7_7.1
systemd-sysv.x86_64 0:219-67.el7_7.1
tuned.noarch 0:2.11.0-5.el7_7.1
tzdata.noarch 0:2019c-1.el7
完了しました!
[root@CENTOS7 ~]#
2. bzip2をインストール
Anaconda3のインストールで必要となるbzip2をインストールする。
yum install bzip2 -y
コマンド実行結果
[root@CENTOS7 ~]# yum install bzip2 -y
読み込んだプラグイン:fastestmirror
Loading mirror speeds from cached hostfile
* base: ty1.mirror.newmediaexpress.com
* extras: ty1.mirror.newmediaexpress.com
* updates: ty1.mirror.newmediaexpress.com
依存性の解決をしています
--> トランザクションの確認を実行しています。
---> パッケージ bzip2.x86_64 0:1.0.6-13.el7 を インストール
--> 依存性解決を終了しました。
依存性を解決しました
================================================================================
Package アーキテクチャー バージョン リポジトリー 容量
================================================================================
インストール中:
bzip2 x86_64 1.0.6-13.el7 base 52 k
トランザクションの要約
================================================================================
インストール 1 パッケージ
総ダウンロード容量: 52 k
インストール容量: 82 k
Downloading packages:
bzip2-1.0.6-13.el7.x86_64.rpm | 52 kB 00:00
Running transaction check
Running transaction test
Transaction test succeeded
Running transaction
インストール中 : bzip2-1.0.6-13.el7.x86_64 1/1
検証中 : bzip2-1.0.6-13.el7.x86_64 1/1
インストール:
bzip2.x86_64 0:1.0.6-13.el7
完了しました!
[root@CENTOS7 ~]#
3. anacondaユーザを作成
anacondaユーザを作成し、パスワードを設定する。
useradd anaconda
passwd anaconda
実行結果
[root@CENTOS7 ~]# useradd anaconda
[root@CENTOS7 ~]# passwd anaconda
ユーザー anaconda のパスワードを変更。
新しいパスワード:
新しいパスワードを再入力してください:
passwd: すべての認証トークンが正しく更新できました。
[root@CENTOS7 ~]#
4. Linux用のAnacondaのインストーラーのダウンロード
Anaconda3-2019.07-Linux-x86_64.shをダウンロードします。
方法１（Webブラウザからダウンロードする）
Anacondaの公式ページを開き、右上の「Download」をクリックします。
ダウンロードページが開かれます。
ページの真ん中あたりに、「Windows」、「macOS」、「Linux」をOSを選択する箇所があります。
「Linux」をクリックします。
「Anaconda 2019.07 for Linux Installer」から「ダウンロード」ボタン、または「64-Bit (x86) Installer (517 MB)」リンクをクリックし、Anaconda3-2019.07-Linux-x86_64.shをダウンロードします。
ダウンロードしたAnaconda3-2019.07-Linux-x86_64.shをCentOSのanacondaユーザーの/home/anaconda配下に配置します。
方法２（CentOS上でコマンドでダウンロードする）
CentOSからanacondaユーザーにスイッチし
curl -OL https://repo.anaconda.com/archive/Anaconda3-2019.07-Linux-x86_64.sh
のコマンドでダウンロードします。
コマンド実行結果
[root@CENTOS7 ~]# su - anaconda
最終ログイン: 2019/10/12 (土) 23:09:07 JST日時 pts/0
[anaconda@CENTOS7 ~]$ curl -OL https://repo.anaconda.com/archive/Anaconda3-2019.07-Linux-x86_64.sh
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 516M 100 516M 0 0 232k 0 0:37:56 0:37:56 --:--:-- 271k
[anaconda@CENTOS7 ~]$
5. Anaconda3のインストール
5.1 ダウンロードしたAnaconda3-2019.07-Linux-x86_64.shに実行権限を付与
ダウンロードしたAnaconda3-2019.07-Linux-x86_64.shに実行権限を付与します。
chmod +x Anaconda3-2019.07-Linux-x86_64.sh
コマンド実行結果
[anaconda@CENTOS7 ~]$ chmod +x Anaconda3-2019.07-Linux-x86_64.sh
[anaconda@CENTOS7 ~]$ ls -la
合計 529224
drwx------. 3 anaconda anaconda 136 10月 12 23:10 .
drwxr-xr-x. 4 root root 36 10月 12 23:06 ..
-rw-------. 1 anaconda anaconda 5 10月 12 23:09 .bash_history
-rw-r--r--. 1 anaconda anaconda 18 8月 8 21:06 .bash_logout
-rw-r--r--. 1 anaconda anaconda 193 8月 8 21:06 .bash_profile
-rw-r--r--. 1 anaconda anaconda 231 8月 8 21:06 .bashrc
drwxrw----. 3 anaconda anaconda 19 10月 12 23:10 .pki
-rwxrwxr-x. 1 anaconda anaconda 541906131 10月 12 23:48 Anaconda3-2019.07-Linux-x86_64.sh
[anaconda@CENTOS7 ~]$
5.2 Anaconda3-2019.07-Linux-x86_64.shを実行
Anaconda3-2019.07-Linux-x86_64.shを実行します。
./Anaconda3-2019.07-Linux-x86_64.sh
コマンド実行結果
[anaconda@CENTOS7 ~]$ ./Anaconda3-2019.07-Linux-x86_64.sh
Welcome to Anaconda3 2019.07
In order to continue the installation process, please review the license
agreement.
Please, press ENTER to continue
>>>
ライセンスを確認を促すメッセージが表示されます。続行するため「Enter」キーを押します。
[Enter]キー
コマンド実行結果
>>>
===================================
Anaconda End User License Agreement
===================================
Copyright 2015, Anaconda, Inc.
All rights reserved under the 3-clause BSD License:
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice, th
is list of conditions and the following disclaimer in the documentation and/or o
ther materials provided with the distribution.
* Neither the name of Anaconda, Inc. ("Anaconda, Inc.") nor the names of its c
ontributors may be used to endorse or promote products derived from this softwar
e without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WA
RRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
IN NO EVENT SHALL ANACONDA, INC. BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL
, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, P
ROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BU
SINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN C
ONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING I
N ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
SUCH DAMAGE.
Notice of Third Party Software Licenses
=======================================
Anaconda Distribution contains open source software packages from third parties.
These are available on an "as is" basis and subject to their individual license
agreements. These licenses are available in Anaconda Distribution or at http://
docs.anaconda.com/anaconda/pkg-docs. Any binary packages of these third party to
ols you obtain via Anaconda Distribution are subject to their individual license
s as well as the Anaconda license. Anaconda, Inc. reserves the right to change w
hich third party tools are provided in Anaconda Distribution.
In particular, Anaconda Distribution contains re-distributable, run-time, shared
-library files from the Intel(TM) Math Kernel Library ("MKL binaries"). You are
specifically authorized to use the MKL binaries with your installation of Anacon
da Distribution. You are also authorized to redistribute the MKL binaries with A
naconda Distribution or in the conda package that contains them. Use and redistr
ibution of the MKL binaries are subject to the licensing terms located at https:
//software.intel.com/en-us/license/intel-simplified-software-license. If needed,
instructions for removing the MKL binaries after installation of Anaconda Distr
ibution are available at http://www.anaconda.com.
Anaconda Distribution also contains cuDNN software binaries from NVIDIA Corporat
ion ("cuDNN binaries"). You are specifically authorized to use the cuDNN binarie
s with your installation of Anaconda Distribution. You are also authorized to re
distribute the cuDNN binaries with an Anaconda Distribution package that contain
s them. If needed, instructions for removing the cuDNN binaries after installati
on of Anaconda Distribution are available at http://www.anaconda.com.
Anaconda Distribution also contains Visual Studio Code software binaries from Mi
crosoft Corporation ("VS Code"). You are specifically authorized to use VS Code
with your installation of Anaconda Distribution. Use of VS Code is subject to th
e licensing terms located at https://code.visualstudio.com/License.
Cryptography Notice
===================
This distribution includes cryptographic software. The country in which you curr
ently reside may have restrictions on the import, possession, use, and/or re-exp
ort to another country, of encryption software. BEFORE using any encryption soft
ware, please check your country's laws, regulations and policies concerning the
import, possession, or use, and re-export of encryption software, to see if this
is permitted. See the Wassenaar Arrangement http://www.wassenaar.org/ for more
information.
Anaconda, Inc. has self-classified this software as Export Commodity Control Num
ber (ECCN) 5D992b, which includes mass market information security software usin
g or performing cryptographic functions with asymmetric algorithms. No license i
s required for export of this software to non-embargoed countries. In addition,
the Intel(TM) Math Kernel Library contained in Anaconda, Inc.'s software is clas
sified by Intel(TM) as ECCN 5D992b with no license required for export to non-em
bargoed countries and Microsoft's Visual Studio Code software is classified by M
icrosoft as ECCN 5D992.c with no license required for export to non-embargoed co
untries.
The following packages are included in this distribution that relate to cryptogr
aphy:
openssl
The OpenSSL Project is a collaborative effort to develop a robust, commercia
l-grade, full-featured, and Open Source toolkit implementing the Transport Layer
Security (TLS) and Secure Sockets Layer (SSL) protocols as well as a full-stren
gth general purpose cryptography library.
pycrypto
A collection of both secure hash functions (such as SHA256 and RIPEMD160), a
nd various encryption algorithms (AES, DES, RSA, ElGamal, etc.).
pyopenssl
A thin Python wrapper around (a subset of) the OpenSSL library.
kerberos (krb5, non-Windows platforms)
A network authentication protocol designed to provide strong authentication
for client/server applications by using secret-key cryptography.
cryptography
A Python library which exposes cryptographic recipes and primitives.
Do you accept the license terms? [yes|no]
[no] >>>
ライセンス条項に同意するかを聞かれるのでyesを入力します。
yes
コマンド実行結果
[no] >>> yes
Anaconda3 will now be installed into this location:
/home/anaconda/anaconda3
- Press ENTER to confirm the location
- Press CTRL-C to abort the installation
- Or specify a different location below
[/home/anaconda/anaconda3] >>>
/home/anaconda/anaconda3にインストールされることが通知されます。続行するため「Enter」キーを押します。
[Enter]キー
コマンド実行結果
[/home/anaconda/anaconda3] >>>
PREFIX=/home/anaconda/anaconda3
Unpacking payload ...
Extracting : python-3.7.3-h0371630_0.conda: 0%| | 0/288 [00:03<?, ?itExtracting : python-3.7.3-h0371630_0.conda: 0%| | 1/288 [00:03<19:03,Extracting : conda-env-2.6.0-1.conda: 0%| | 1/288 [00:04<19:03, 3.98Extracting : conda-env-2.6.0-1.conda: 1%| | 2/288 [00:04<13:43, 2.88Extracting : _libgcc_mutex-0.1-main.conda: 1%| | 2/288 [00:04<13:43, Extracting : blas-1.0-mkl.conda: 1%| | 3/288 [00:04<13:41, 2.88s/it]Extracting : ca-certificates-2019.5.15-0.conda: 1%|? | 4/288 [00:04<13Extracting : ca-certificates-2019.5.15-0.conda: 2%|? | 5/288 [00:04<09Extracting : intel-openmp-2019.4-243.conda: 2%|? | 5/288 [00:04<09:33,Extracting : libgfortran-ng-7.3.0-hdf63c60_0.conda: 2%|? | 6/288 [00:0Extracting : libgfortran-ng-7.3.0-hdf63c60_0.conda: 2%|? | 7/288 [00:0Extracting : libstdcxx-ng-9.1.0-hdf63c60_0.conda: 2%|? | 7/288 [00:06<Extracting : libgcc-ng-9.1.0-hdf63c60_0.conda: 3%|? | 8/288 [00:06<06:Extracting : libgcc-ng-9.1.0-hdf63c60_0.conda: 3%|? | 9/288 [00:06<06:Extracting : mkl-2019.4-243.conda: 3%|? | 9/288 [00:34<06:14, 1.34s/iExtracting : mkl-2019.4-243.conda: 3%|? | 10/288 [00:34<43:17, 9.34s/Extracting : expat-2.2.6-he6710b0_0.conda: 3%|? | 10/288 [00:35<43:17,Extracting : expat-2.2.6-he6710b0_0.conda: 4%|? | 11/288 [00:35<31:51,Extracting : fribidi-1.0.5-h7b6447c_0.conda: 4%|? | 11/288 [00:35<31:5Extracting : gmp-6.1.2-h6c8ec71_1.conda: 4%|? | 12/288 [00:36<31:44, Extracting : graphite2-1.3.13-h23475e2_0.conda: 5%|? | 13/288 [00:36<3Extracting : icu-58.2-h9c2bf20_1.conda: 5%|? | 14/288 [00:38<31:30, 6Extracting : icu-58.2-h9c2bf20_1.conda: 5%|? | 15/288 [00:38<22:45, 5Extracting : jbig-2.1-hdba287a_0.conda: 5%|? | 15/288 [00:38<22:45, 5Extracting : jpeg-9b-h024ee3a_2.conda: 6%|? | 16/288 [00:38<22:40, 5.Extracting : libffi-3.2.1-hd88cf55_4.conda: 6%|? | 17/288 [00:38<22:35Extracting : libffi-3.2.1-hd88cf55_4.conda: 6%|? | 18/288 [00:38<15:48Extracting : liblief-0.9.0-h7725739_2.conda: 6%|? | 18/288 [00:38<15:4Extracting : liblief-0.9.0-h7725739_2.conda: 7%|? | 19/288 [00:38<11:1Extracting : libsodium-1.0.16-h1bed415_0.conda: 7%|? | 19/288 [00:38<1Extracting : libtool-2.4.6-h7b6447c_5.conda: 7%|? | 20/288 [00:38<11:1Extracting : libuuid-1.0.3-h1bed415_2.conda: 7%|? | 21/288 [00:38<11:0Extracting : libxcb-1.13-h1bed415_1.conda: 8%|? | 22/288 [00:38<11:06,Extracting : lz4-c-1.8.1.2-h14c3975_0.conda: 8%|? | 23/288 [00:38<11:0Extracting : lz4-c-1.8.1.2-h14c3975_0.conda: 8%|? | 24/288 [00:38<07:4Extracting : lzo-2.10-h49e0be7_2.conda: 8%|? | 24/288 [00:38<07:44, 1Extracting : ncurses-6.1-he6710b0_1.conda: 9%|? | 25/288 [00:39<07:43,Extracting : ncurses-6.1-he6710b0_1.conda: 9%|? | 26/288 [00:39<05:55,Extracting : openssl-1.1.1c-h7b6447c_1.conda: 9%|? | 26/288 [00:39<05:Extracting : patchelf-0.9-he6710b0_3.conda: 9%|? | 27/288 [00:41<05:54Extracting : patchelf-0.9-he6710b0_3.conda: 10%|? | 28/288 [00:41<05:09Extracting : pcre-8.43-he6710b0_0.conda: 10%|? | 28/288 [00:41<05:09, Extracting : pixman-0.38.0-h7b6447c_0.conda: 10%|? | 29/288 [00:41<05:0Extracting : pixman-0.38.0-h7b6447c_0.conda: 10%|? | 30/288 [00:41<03:5Extracting : snappy-1.1.7-hbae5bb6_3.conda: 10%|? | 30/288 [00:41<03:59Extracting : xz-5.2.4-h14c3975_4.conda: 11%|? | 31/288 [00:41<03:58, 1Extracting : yaml-0.1.7-had09818_2.conda: 11%|? | 32/288 [00:41<03:58, Extracting : zlib-1.2.11-h7b6447c_3.conda: 11%|?? | 33/288 [00:41<03:57,Extracting : glib-2.56.2-hd408876_0.conda: 12%|?? | 34/288 [00:42<03:56,Extracting : glib-2.56.2-hd408876_0.conda: 12%|?? | 35/288 [00:42<02:49,Extracting : hdf5-1.10.4-hb1b8bf9_0.conda: 12%|?? | 35/288 [00:42<02:49,Extracting : libedit-3.1.20181209-hc058e9b_0.conda: 12%|?? | 36/288 [00:Extracting : libedit-3.1.20181209-hc058e9b_0.conda: 13%|?? | 37/288 [00:Extracting : libpng-1.6.37-hbc83047_0.conda: 13%|?? | 37/288 [00:42<02:1Extracting : libssh2-1.8.2-h1ba5d50_0.conda: 13%|?? | 38/288 [00:42<02:1Extracting : libxml2-2.9.9-hea5a465_1.conda: 14%|?? | 39/288 [00:42<02:1Extracting : libxml2-2.9.9-hea5a465_1.conda: 14%|?? | 40/288 [00:42<01:3Extracting : mpfr-4.0.1-hdf1c602_3.conda: 14%|?? | 40/288 [00:44<01:36, Extracting : pandoc-2.2.3.2-0.conda: 14%|?? | 41/288 [00:46<01:36, 2.56Extracting : pandoc-2.2.3.2-0.conda: 15%|?? | 42/288 [00:46<03:39, 1.12Extracting : readline-7.0-h7b6447c_5.conda: 15%|?? | 42/288 [00:48<03:39Extracting : readline-7.0-h7b6447c_5.conda: 15%|?? | 43/288 [00:48<04:20Extracting : tk-8.6.8-hbc83047_0.conda: 15%|?? | 43/288 [00:48<04:20, 1Extracting : tk-8.6.8-hbc83047_0.conda: 15%|?? | 44/288 [00:48<03:13, 1Extracting : zeromq-4.3.1-he6710b0_3.conda: 15%|?? | 44/288 [00:49<03:13Extracting : zeromq-4.3.1-he6710b0_3.conda: 16%|?? | 45/288 [00:49<03:28Extracting : zstd-1.3.7-h0b5b093_0.conda: 16%|?? | 45/288 [00:49<03:28, Extracting : blosc-1.16.3-hd408876_0.conda: 16%|?? | 46/288 [00:49<03:27Extracting : dbus-1.13.6-h746ee38_0.conda: 16%|?? | 47/288 [00:49<03:26,Extracting : freetype-2.9.1-h8a8886c_1.conda: 17%|?? | 48/288 [00:49<03:Extracting : gstreamer-1.14.0-hb453b48_1.conda: 17%|?? | 49/288 [00:49<0Extracting : gstreamer-1.14.0-hb453b48_1.conda: 17%|?? | 50/288 [00:49<0Extracting : krb5-1.16.1-h173b8e3_7.conda: 17%|?? | 50/288 [00:49<02:26,Extracting : libarchive-3.3.3-h5d8350f_5.conda: 18%|?? | 51/288 [00:49<0Extracting : libtiff-4.0.10-h2733197_2.conda: 18%|?? | 52/288 [00:49<02:Extracting : libxslt-1.1.33-h7d1a2b0_0.conda: 18%|?? | 53/288 [00:49<02:Extracting : mpc-1.1.0-h10f8cd9_1.conda: 19%|?? | 54/288 [00:49<02:23, Extracting : mpc-1.1.0-h10f8cd9_1.conda: 19%|?? | 55/288 [00:49<01:41, Extracting : unixodbc-2.3.7-h14c3975_0.conda: 19%|?? | 55/288 [00:49<01:Extracting : fontconfig-2.13.0-h9420a91_0.conda: 19%|?? | 56/288 [00:49<Extracting : gst-plugins-base-1.14.0-hbbd80ab_1.conda: 20%|?? | 57/288 [Extracting : gst-plugins-base-1.14.0-hbbd80ab_1.conda: 20%|?? | 58/288 [Extracting : alabaster-0.7.12-py37_0.conda: 20%|?? | 58/288 [00:51<01:37Extracting : asn1crypto-0.24.0-py37_0.conda: 20%|?? | 59/288 [00:51<01:3Extracting : asn1crypto-0.24.0-py37_0.conda: 21%|?? | 60/288 [00:51<01:2Extracting : atomicwrites-1.3.0-py37_1.conda: 21%|?? | 60/288 [00:51<01:Extracting : attrs-19.1.0-py37_1.conda: 21%|?? | 61/288 [00:51<01:29, 2Extracting : backcall-0.1.0-py37_0.conda: 22%|??? | 62/288 [00:51<01:28, Extracting : bitarray-0.9.3-py37h7b6447c_0.conda: 22%|??? | 63/288 [00:51Extracting : boto-2.49.0-py37_0.conda: 22%|??? | 64/288 [00:51<01:28, 2.Extracting : boto-2.49.0-py37_0.conda: 23%|??? | 65/288 [00:51<01:03, 3.Extracting : cairo-1.14.12-h8948797_3.conda: 23%|??? | 65/288 [00:51<01:0Extracting : certifi-2019.6.16-py37_0.conda: 23%|??? | 66/288 [00:51<01:0Extracting : chardet-3.0.4-py37_1.conda: 23%|??? | 67/288 [00:51<01:02, Extracting : click-7.0-py37_0.conda: 24%|??? | 68/288 [00:51<01:02, 3.52Extracting : colorama-0.4.1-py37_0.conda: 24%|??? | 69/288 [00:51<01:02, Extracting : contextlib2-0.5.5-py37_0.conda: 24%|??? | 70/288 [00:51<01:0Extracting : contextlib2-0.5.5-py37_0.conda: 25%|??? | 71/288 [00:51<00:4Extracting : decorator-4.4.0-py37_1.conda: 25%|??? | 71/288 [00:51<00:44,Extracting : docutils-0.14-py37_0.conda: 25%|??? | 72/288 [00:51<00:44, Extracting : entrypoints-0.3-py37_0.conda: 25%|??? | 73/288 [00:51<00:43,Extracting : et_xmlfile-1.0.1-py37_0.conda: 26%|??? | 74/288 [00:51<00:43Extracting : et_xmlfile-1.0.1-py37_0.conda: 26%|??? | 75/288 [00:51<00:32Extracting : fastcache-1.1.0-py37h7b6447c_0.conda: 26%|??? | 75/288 [00:5Extracting : future-0.17.1-py37_0.conda: 26%|??? | 76/288 [00:51<00:32, Extracting : gmpy2-2.0.8-py37h10f8cd9_2.conda: 27%|??? | 77/288 [00:52<00Extracting : greenlet-0.4.15-py37h7b6447c_0.conda: 27%|??? | 78/288 [00:5Extracting : heapdict-1.0.0-py37_2.conda: 27%|??? | 79/288 [00:52<00:32, Extracting : idna-2.8-py37_0.conda: 28%|??? | 80/288 [00:52<00:32, 6.50iExtracting : imagesize-1.1.0-py37_0.conda: 28%|??? | 81/288 [00:52<00:31,Extracting : ipython_genutils-0.2.0-py37_0.conda: 28%|??? | 82/288 [00:52Extracting : itsdangerous-1.1.0-py37_0.conda: 29%|??? | 83/288 [00:52<00:Extracting : jeepney-0.4-py37_0.conda: 29%|??? | 84/288 [00:52<00:31, 6.Extracting : jeepney-0.4-py37_0.conda: 30%|??? | 85/288 [00:52<00:22, 9.Extracting : joblib-0.13.2-py37_0.conda: 30%|??? | 85/288 [00:52<00:22, Extracting : kiwisolver-1.1.0-py37he6710b0_0.conda: 30%|??? | 86/288 [00:Extracting : lazy-object-proxy-1.4.1-py37h7b6447c_0.conda: 30%|??? | 87/2Extracting : llvmlite-0.29.0-py37hd408876_0.conda: 31%|??? | 88/288 [00:5Extracting : locket-0.2.0-py37_1.conda: 31%|??? | 89/288 [00:55<00:22, 9Extracting : lxml-4.3.4-py37hefd8a0e_0.conda: 31%|???? | 90/288 [00:55<00:Extracting : lxml-4.3.4-py37hefd8a0e_0.conda: 32%|???? | 91/288 [00:55<00:Extracting : markupsafe-1.1.1-py37h7b6447c_0.conda: 32%|???? | 91/288 [00:Extracting : mccabe-0.6.1-py37_1.conda: 32%|???? | 92/288 [00:55<00:49, 3Extracting : mistune-0.8.4-py37h7b6447c_0.conda: 32%|???? | 93/288 [00:55<Extracting : more-itertools-7.0.0-py37_0.conda: 33%|???? | 94/288 [00:55<0Extracting : mpmath-1.1.0-py37_0.conda: 33%|???? | 95/288 [00:55<00:49, 3Extracting : msgpack-python-0.6.1-py37hfd86e86_1.conda: 33%|???? | 96/288 Extracting : numpy-base-1.16.4-py37hde5b4d6_0.conda: 34%|???? | 97/288 [00Extracting : numpy-base-1.16.4-py37hde5b4d6_0.conda: 34%|???? | 98/288 [00Extracting : olefile-0.46-py37_0.conda: 34%|???? | 98/288 [00:56<00:36, 5Extracting : pandocfilters-1.4.2-py37_1.conda: 34%|???? | 99/288 [00:56<00Extracting : pep8-1.7.1-py37_0.conda: 35%|???? | 100/288 [00:57<00:35, 5.Extracting : pickleshare-0.7.5-py37_0.conda: 35%|???? | 101/288 [00:57<00:Extracting : pickleshare-0.7.5-py37_0.conda: 35%|???? | 102/288 [00:57<00:Extracting : pkginfo-1.5.0.1-py37_0.conda: 35%|???? | 102/288 [00:57<00:40Extracting : ply-3.11-py37_0.conda: 36%|???? | 103/288 [00:57<00:40, 4.57Extracting : psutil-5.6.3-py37h7b6447c_0.conda: 36%|???? | 104/288 [00:57<Extracting : ptyprocess-0.6.0-py37_0.conda: 36%|???? | 105/288 [00:57<00:4Extracting : py-1.8.0-py37_0.conda: 37%|???? | 106/288 [00:57<00:39, 4.57Extracting : py-lief-0.9.0-py37h7725739_2.conda: 37%|???? | 107/288 [00:57Extracting : py-lief-0.9.0-py37h7725739_2.conda: 38%|???? | 108/288 [00:57Extracting : pycodestyle-2.5.0-py37_0.conda: 38%|???? | 108/288 [00:57<00:Extracting : pycosat-0.6.3-py37h14c3975_0.conda: 38%|???? | 109/288 [00:57Extracting : pycparser-2.19-py37_0.conda: 38%|???? | 110/288 [00:57<00:28,Extracting : pycrypto-2.6.1-py37h14c3975_9.conda: 39%|???? | 111/288 [00:5Extracting : pycurl-7.43.0.3-py37h1ba5d50_0.conda: 39%|???? | 112/288 [00:Extracting : pyflakes-2.1.1-py37_0.conda: 39%|???? | 113/288 [00:57<00:27,Extracting : pyodbc-4.0.26-py37he6710b0_0.conda: 40%|???? | 114/288 [00:57Extracting : pysocks-1.7.0-py37_0.conda: 40%|???? | 115/288 [00:57<00:27, Extracting : pyyaml-5.1.1-py37h7b6447c_0.conda: 40%|???? | 116/288 [00:57<Extracting : pyzmq-18.0.0-py37he6710b0_0.conda: 41%|???? | 117/288 [00:57<Extracting : pyzmq-18.0.0-py37he6710b0_0.conda: 41%|???? | 118/288 [00:57<Extracting : pyzmq-18.0.0-py37he6710b0_0.conda: 41%|???? | 118/288 [01:10<Extracting : qt-5.9.7-h5867ecd_1.conda: 41%|???? | 118/288 [01:11<00:19, Extracting : qt-5.9.7-h5867ecd_1.conda: 41%|????? | 119/288 [01:11<11:56, Extracting : ruamel_yaml-0.15.46-py37h14c3975_0.conda: 41%|????? | 119/288 Extracting : ruamel_yaml-0.15.46-py37h14c3975_0.conda: 42%|????? | 120/288 Extracting : send2trash-1.5.0-py37_0.conda: 42%|????? | 120/288 [01:12<09:1Extracting : send2trash-1.5.0-py37_0.conda: 42%|????? | 121/288 [01:12<06:5Extracting : simplegeneric-0.8.1-py37_2.conda: 42%|????? | 121/288 [01:12<0Extracting : sip-4.19.8-py37hf484d3e_0.conda: 42%|????? | 122/288 [01:12<06Extracting : six-1.12.0-py37_0.conda: 43%|????? | 123/288 [01:12<06:49, 2.Extracting : sortedcontainers-2.1.0-py37_0.conda: 43%|????? | 124/288 [01:1Extracting : soupsieve-1.8-py37_0.conda: 43%|????? | 125/288 [01:12<06:44, Extracting : soupsieve-1.8-py37_0.conda: 44%|????? | 126/288 [01:12<04:42, Extracting : sphinxcontrib-1.0-py37_1.conda: 44%|????? | 126/288 [01:12<04:Extracting : sqlalchemy-1.3.5-py37h7b6447c_0.conda: 44%|????? | 127/288 [01Extracting : sqlalchemy-1.3.5-py37h7b6447c_0.conda: 44%|????? | 128/288 [01Extracting : testpath-0.4.2-py37_0.conda: 44%|????? | 128/288 [01:13<03:23,Extracting : tornado-6.0.3-py37h7b6447c_0.conda: 45%|????? | 129/288 [01:13Extracting : unicodecsv-0.14.1-py37_0.conda: 45%|????? | 130/288 [01:13<03:Extracting : wcwidth-0.1.7-py37_0.conda: 45%|????? | 131/288 [01:13<03:20, Extracting : webencodings-0.5.1-py37_1.conda: 46%|????? | 132/288 [01:13<03Extracting : wrapt-1.11.2-py37h7b6447c_0.conda: 46%|????? | 133/288 [01:13<Extracting : wurlitzer-1.0.2-py37_0.conda: 47%|????? | 134/288 [01:13<03:16Extracting : xlrd-1.2.0-py37_0.conda: 47%|????? | 135/288 [01:13<03:14, 1.Extracting : xlrd-1.2.0-py37_0.conda: 47%|????? | 136/288 [01:13<02:16, 1.Extracting : xlwt-1.3.0-py37_0.conda: 47%|????? | 136/288 [01:13<02:16, 1.Extracting : backports.os-0.1.1-py37_0.conda: 48%|????? | 137/288 [01:13<02Extracting : backports.shutil_get_terminal_size-1.0.0-py37_2.conda: 48%|????? Extracting : beautifulsoup4-4.7.1-py37_1.conda: 48%|????? | 139/288 [01:13<Extracting : cffi-1.12.3-py37h2e261b9_0.conda: 49%|????? | 140/288 [01:13<0Extracting : cycler-0.10.0-py37_0.conda: 49%|????? | 141/288 [01:13<02:11, Extracting : harfbuzz-1.8.8-hffaf4a1_0.conda: 49%|????? | 142/288 [01:13<02Extracting : harfbuzz-1.8.8-hffaf4a1_0.conda: 50%|????? | 143/288 [01:13<01Extracting : html5lib-1.0.1-py37_0.conda: 50%|????? | 143/288 [01:13<01:32,Extracting : importlib_metadata-0.17-py37_1.conda: 50%|????? | 144/288 [01:Extracting : jedi-0.13.3-py37_0.conda: 50%|????? | 145/288 [01:13<01:30, 1Extracting : mkl_random-1.0.2-py37hd81dba3_0.conda: 51%|????? | 146/288 [01Extracting : mock-3.0.5-py37_0.conda: 51%|????? | 147/288 [01:13<01:29, 1.Extracting : multipledispatch-0.6.0-py37_0.conda: 51%|?????? | 148/288 [01:1Extracting : packaging-19.0-py37_0.conda: 52%|?????? | 149/288 [01:13<01:28,Extracting : pathlib2-2.3.4-py37_0.conda: 52%|?????? | 150/288 [01:13<01:27,Extracting : pexpect-4.7.0-py37_0.conda: 52%|?????? | 151/288 [01:13<01:26, Extracting : pexpect-4.7.0-py37_0.conda: 53%|?????? | 152/288 [01:13<01:00, Extracting : pyqt-5.9.2-py37h05f1152_2.conda: 53%|?????? | 152/288 [01:14<01Extracting : pyrsistent-0.14.11-py37h7b6447c_0.conda: 53%|?????? | 153/288 [Extracting : python-dateutil-2.8.0-py37_0.conda: 53%|?????? | 154/288 [01:15Extracting : qtawesome-0.5.7-py37_1.conda: 54%|?????? | 155/288 [01:15<00:59Extracting : setuptools-41.0.1-py37_0.conda: 54%|?????? | 156/288 [01:15<00:Extracting : setuptools-41.0.1-py37_0.conda: 55%|?????? | 157/288 [01:15<00:Extracting : singledispatch-3.4.0.3-py37_0.conda: 55%|?????? | 157/288 [01:1Extracting : sortedcollections-1.1.2-py37_0.conda: 55%|?????? | 158/288 [01:Extracting : terminado-0.8.2-py37_0.conda: 55%|?????? | 159/288 [01:16<00:57Extracting : traitlets-4.3.2-py37_0.conda: 56%|?????? | 160/288 [01:16<00:57Extracting : traitlets-4.3.2-py37_0.conda: 56%|?????? | 161/288 [01:16<00:44Extracting : astroid-2.2.5-py37_0.conda: 56%|?????? | 161/288 [01:16<00:44, Extracting : bleach-3.1.0-py37_0.conda: 56%|?????? | 162/288 [01:16<00:44, Extracting : clyent-1.2.2-py37_1.conda: 57%|?????? | 163/288 [01:16<00:44, Extracting : cryptography-2.7-py37h1ba5d50_0.conda: 57%|?????? | 164/288 [01Extracting : get_terminal_size-1.0.0-haa9412d_0.conda: 57%|?????? | 165/288 Extracting : gevent-1.4.0-py37h7b6447c_0.conda: 58%|?????? | 166/288 [01:16<Extracting : gevent-1.4.0-py37h7b6447c_0.conda: 58%|?????? | 167/288 [01:16<Extracting : isort-4.3.21-py37_0.conda: 58%|?????? | 167/288 [01:17<00:31, Extracting : jinja2-2.10.1-py37_0.conda: 58%|?????? | 168/288 [01:17<00:31, Extracting : jsonschema-3.0.1-py37_0.conda: 59%|?????? | 169/288 [01:17<00:3Extracting : jsonschema-3.0.1-py37_0.conda: 59%|?????? | 170/288 [01:17<00:2Extracting : navigator-updater-0.2.1-py37_0.conda: 59%|?????? | 170/288 [01:Extracting : nose-1.3.7-py37_2.conda: 59%|?????? | 171/288 [01:17<00:27, 4.Extracting : pango-1.42.4-h049681c_0.conda: 60%|?????? | 172/288 [01:19<00:2Extracting : pango-1.42.4-h049681c_0.conda: 60%|?????? | 173/288 [01:19<00:4Extracting : sympy-1.4-py37_0.conda: 60%|?????? | 173/288 [01:20<00:49, 2.3Extracting : wheel-0.33.4-py37_0.conda: 60%|?????? | 174/288 [01:22<00:48, Extracting : wheel-0.33.4-py37_0.conda: 61%|?????? | 175/288 [01:22<01:12, Extracting : nbformat-4.4.0-py37_0.conda: 61%|?????? | 175/288 [01:22<01:12,Extracting : nbformat-4.4.0-py37_0.conda: 61%|?????? | 176/288 [01:22<01:08,Extracting : pip-19.1.1-py37_0.conda: 61%|?????? | 176/288 [01:22<01:08, 1.Extracting : pip-19.1.1-py37_0.conda: 61%|??????? | 177/288 [01:22<00:51, 2.Extracting : prompt_toolkit-2.0.9-py37_0.conda: 61%|??????? | 177/288 [01:22<Extracting : pylint-2.3.1-py37_0.conda: 62%|??????? | 178/288 [01:23<00:50, Extracting : pylint-2.3.1-py37_0.conda: 62%|??????? | 179/288 [01:23<00:38, Extracting : pyopenssl-19.0.0-py37_0.conda: 62%|??????? | 179/288 [01:23<00:3Extracting : secretstorage-3.1.1-py37_0.conda: 62%|??????? | 180/288 [01:23<0Extracting : keyring-18.0.0-py37_0.conda: 63%|??????? | 181/288 [01:23<00:37,Extracting : pytest-openfiles-0.3.2-py37_0.conda: 63%|??????? | 182/288 [01:2Extracting : pytest-remotedata-0.3.1-py37_0.conda: 64%|??????? | 183/288 [01:Extracting : urllib3-1.24.2-py37_0.conda: 64%|??????? | 184/288 [01:23<00:36,Extracting : ipykernel-5.1.1-py37h39e3cac_0.conda: 64%|??????? | 185/288 [01:Extracting : requests-2.22.0-py37_0.conda: 65%|??????? | 186/288 [01:23<00:35Extracting : anaconda-client-1.7.2-py37_0.conda: 65%|??????? | 187/288 [01:23Extracting : anaconda-client-1.7.2-py37_0.conda: 65%|??????? | 188/288 [01:23Extracting : jupyter_console-6.0.0-py37_0.conda: 65%|??????? | 188/288 [01:23Extracting : _ipyw_jlab_nb_ext_conf-0.1.0-py37_0.conda: 66%|??????? | 189/288Extracting : jupyter-1.0.0-py37_7.conda: 66%|??????? | 190/288 [01:23<00:24, Extracting : bokeh-1.2.0-py37_0.conda: 66%|??????? | 191/288 [01:23<00:24, 3Extracting : bokeh-1.2.0-py37_0.conda: 67%|??????? | 192/288 [01:23<00:22, 4Extracting : bottleneck-1.2.1-py37h035aef0_1.conda: 67%|??????? | 192/288 [01Extracting : h5py-2.9.0-py37h7918eee_0.conda: 67%|??????? | 193/288 [01:24<00Extracting : imageio-2.5.0-py37_0.conda: 67%|??????? | 194/288 [01:24<00:21, Extracting : imageio-2.5.0-py37_0.conda: 68%|??????? | 195/288 [01:24<00:24, Extracting : matplotlib-3.1.0-py37h5429711_0.conda: 68%|??????? | 195/288 [01Extracting : mkl-service-2.0.2-py37h7b6447c_0.conda: 68%|??????? | 196/288 [0Extracting : mkl-service-2.0.2-py37h7b6447c_0.conda: 68%|??????? | 197/288 [0Extracting : mkl_fft-1.0.12-py37ha843d7b_0.conda: 68%|??????? | 197/288 [01:2Extracting : numpy-1.16.4-py37h7e9f1db_0.conda: 69%|??????? | 198/288 [01:27<Extracting : numpy-1.16.4-py37h7e9f1db_0.conda: 69%|??????? | 199/288 [01:27<Extracting : numba-0.44.1-py37h962f231_0.conda: 69%|??????? | 199/288 [01:27<Extracting : numexpr-2.6.9-py37h9e4a6bb_0.conda: 69%|??????? | 200/288 [01:28Extracting : numexpr-2.6.9-py37h9e4a6bb_0.conda: 70%|??????? | 201/288 [01:28Extracting : pandas-0.24.2-py37he6710b0_0.conda: 70%|??????? | 201/288 [01:31Extracting : pandas-0.24.2-py37he6710b0_0.conda: 70%|??????? | 202/288 [01:31Extracting : pytest-arraydiff-0.3-py37h39e3cac_0.conda: 70%|??????? | 202/288Extracting : pytest-arraydiff-0.3-py37h39e3cac_0.conda: 70%|??????? | 203/288Extracting : pytest-doctestplus-0.3.0-py37_0.conda: 70%|??????? | 203/288 [01Extracting : pytest-doctestplus-0.3.0-py37_0.conda: 71%|??????? | 204/288 [01Extracting : pywavelets-1.0.3-py37hdd07704_1.conda: 71%|??????? | 204/288 [01Extracting : pywavelets-1.0.3-py37hdd07704_1.conda: 71%|??????? | 205/288 [01Extracting : bkcharts-0.2-py37_0.conda: 71%|??????? | 205/288 [01:32<00:49, Extracting : patsy-0.5.1-py37_0.conda: 72%|???????? | 206/288 [01:32<00:49, 1Extracting : pytables-3.5.2-py37h71ec239_1.conda: 72%|???????? | 207/288 [01:3Extracting : pytables-3.5.2-py37h71ec239_1.conda: 72%|???????? | 208/288 [01:3Extracting : pytest-astropy-0.5.0-py37_0.conda: 72%|???????? | 208/288 [01:32<Extracting : scikit-image-0.15.0-py37he6710b0_0.conda: 73%|???????? | 209/288 Extracting : scikit-image-0.15.0-py37he6710b0_0.conda: 73%|???????? | 210/288 Extracting : scikit-learn-0.21.2-py37hd81dba3_0.conda: 73%|???????? | 210/288 Extracting : scikit-learn-0.21.2-py37hd81dba3_0.conda: 73%|???????? | 211/288 Extracting : astropy-3.2.1-py37h7b6447c_0.conda: 73%|???????? | 211/288 [01:37Extracting : astropy-3.2.1-py37h7b6447c_0.conda: 74%|???????? | 212/288 [01:37Extracting : statsmodels-0.10.0-py37hdd07704_0.conda: 74%|???????? | 212/288 [Extracting : statsmodels-0.10.0-py37hdd07704_0.conda: 74%|???????? | 213/288 [Extracting : seaborn-0.9.0-py37_0.conda: 74%|???????? | 213/288 [01:39<01:16, Extracting : seaborn-0.9.0-py37_0.conda: 74%|???????? | 214/288 [01:39<01:09, Extracting : bzip2-1.0.8-h7b6447c_0.tar.bz2: 74%|???????? | 214/288 [01:39<01:Extracting : bzip2-1.0.8-h7b6447c_0.tar.bz2: 75%|???????? | 215/288 [01:39<00:Extracting : sqlite-3.29.0-h7b6447c_0.tar.bz2: 75%|???????? | 215/288 [01:40<0Extracting : sqlite-3.29.0-h7b6447c_0.tar.bz2: 75%|???????? | 216/288 [01:40<0Extracting : libcurl-7.65.2-h20c2e04_0.tar.bz2: 75%|???????? | 216/288 [01:40<Extracting : backports-1.0-py_2.tar.bz2: 75%|???????? | 217/288 [01:40<00:44, Extracting : backports-1.0-py_2.tar.bz2: 76%|???????? | 218/288 [01:40<00:31, Extracting : cloudpickle-1.2.1-py_0.tar.bz2: 76%|???????? | 218/288 [01:40<00:Extracting : curl-7.65.2-hbc83047_0.tar.bz2: 76%|???????? | 219/288 [01:40<00:Extracting : dask-core-2.1.0-py_0.tar.bz2: 76%|???????? | 220/288 [01:40<00:30Extracting : dask-core-2.1.0-py_0.tar.bz2: 77%|???????? | 221/288 [01:40<00:22Extracting : defusedxml-0.6.0-py_0.tar.bz2: 77%|???????? | 221/288 [01:40<00:2Extracting : filelock-3.0.12-py_0.tar.bz2: 77%|???????? | 222/288 [01:40<00:21Extracting : glob2-0.7-py_0.tar.bz2: 77%|???????? | 223/288 [01:40<00:21, 3.0Extracting : jdcal-1.4.1-py_0.tar.bz2: 78%|???????? | 224/288 [01:40<00:21, 3Extracting : json5-0.8.4-py_0.tar.bz2: 78%|???????? | 225/288 [01:40<00:20, 3Extracting : parso-0.5.0-py_0.tar.bz2: 78%|???????? | 226/288 [01:40<00:20, 3Extracting : prometheus_client-0.7.1-py_0.tar.bz2: 79%|???????? | 227/288 [01:Extracting : pyparsing-2.4.0-py_0.tar.bz2: 79%|???????? | 228/288 [01:40<00:19Extracting : python-libarchive-c-2.8-py37_11.tar.bz2: 80%|???????? | 229/288 [Extracting : pytz-2019.1-py_0.tar.bz2: 80%|???????? | 230/288 [01:40<00:19, 3Extracting : pytz-2019.1-py_0.tar.bz2: 80%|???????? | 231/288 [01:40<00:13, 4Extracting : qtpy-1.8.0-py_0.tar.bz2: 80%|???????? | 231/288 [01:40<00:13, 4.Extracting : rope-0.14.0-py_0.tar.bz2: 81%|???????? | 232/288 [01:40<00:13, 4Extracting : snowballstemmer-1.9.0-py_0.tar.bz2: 81%|???????? | 233/288 [01:40Extracting : sphinxcontrib-applehelp-1.0.1-py_0.tar.bz2: 81%|????????? | 234/28Extracting : sphinxcontrib-applehelp-1.0.1-py_0.tar.bz2: 82%|????????? | 235/28Extracting : sphinxcontrib-devhelp-1.0.1-py_0.tar.bz2: 82%|????????? | 235/288 Extracting : sphinxcontrib-htmlhelp-1.0.2-py_0.tar.bz2: 82%|????????? | 236/288Extracting : sphinxcontrib-jsmath-1.0.1-py_0.tar.bz2: 82%|????????? | 237/288 [Extracting : sphinxcontrib-qthelp-1.0.2-py_0.tar.bz2: 83%|????????? | 238/288 [Extracting : sphinxcontrib-serializinghtml-1.1.3-py_0.tar.bz2: 83%|????????? | Extracting : tblib-1.4.0-py_0.tar.bz2: 83%|????????? | 240/288 [01:41<00:09, 5Extracting : toolz-0.10.0-py_0.tar.bz2: 84%|????????? | 241/288 [01:41<00:09, Extracting : tqdm-4.32.1-py_0.tar.bz2: 84%|????????? | 242/288 [01:41<00:09, 5Extracting : tqdm-4.32.1-py_0.tar.bz2: 84%|????????? | 243/288 [01:41<00:06, 6Extracting : werkzeug-0.15.4-py_0.tar.bz2: 84%|????????? | 243/288 [01:41<00:06Extracting : xlsxwriter-1.1.8-py_0.tar.bz2: 85%|????????? | 244/288 [01:41<00:0Extracting : zipp-0.5.1-py_0.tar.bz2: 85%|????????? | 245/288 [01:41<00:06, 6.Extracting : babel-2.7.0-py_0.tar.bz2: 85%|????????? | 246/288 [01:43<00:06, 6Extracting : babel-2.7.0-py_0.tar.bz2: 86%|????????? | 247/288 [01:43<00:12, 3Extracting : backports.weakref-1.0.post1-py_1.tar.bz2: 86%|????????? | 247/288 Extracting : conda-package-handling-1.3.11-py37_0.tar.bz2: 86%|????????? | 248/Extracting : cytoolz-0.10.0-py37h7b6447c_0.tar.bz2: 86%|????????? | 249/288 [01Extracting : cytoolz-0.10.0-py37h7b6447c_0.tar.bz2: 87%|????????? | 250/288 [01Extracting : nltk-3.4.4-py37_0.tar.bz2: 87%|????????? | 250/288 [01:44<00:09, Extracting : openpyxl-2.6.2-py_0.tar.bz2: 87%|????????? | 251/288 [01:44<00:09,Extracting : openpyxl-2.6.2-py_0.tar.bz2: 88%|????????? | 252/288 [01:44<00:09,Extracting : partd-1.0.0-py_0.tar.bz2: 88%|????????? | 252/288 [01:44<00:09, 3Extracting : pillow-6.1.0-py37h34e0f95_0.tar.bz2: 88%|????????? | 253/288 [01:4Extracting : pillow-6.1.0-py37h34e0f95_0.tar.bz2: 88%|????????? | 254/288 [01:4Extracting : sphinxcontrib-websupport-1.1.2-py_0.tar.bz2: 88%|????????? | 254/2Extracting : zict-1.0.0-py_0.tar.bz2: 89%|????????? | 255/288 [01:45<00:06, 4.Extracting : backports.functools_lru_cache-1.5-py_2.tar.bz2: 89%|????????? | 25Extracting : backports.tempfile-1.0-py_1.tar.bz2: 89%|????????? | 257/288 [01:4Extracting : cython-0.29.12-py37he6710b0_0.tar.bz2: 90%|????????? | 258/288 [01Extracting : cython-0.29.12-py37he6710b0_0.tar.bz2: 90%|????????? | 259/288 [01Extracting : distributed-2.1.0-py_0.tar.bz2: 90%|????????? | 259/288 [01:46<00:Extracting : jupyter_core-4.5.0-py_0.tar.bz2: 90%|????????? | 260/288 [01:46<00Extracting : jupyter_core-4.5.0-py_0.tar.bz2: 91%|????????? | 261/288 [01:46<00Extracting : networkx-2.3-py_0.tar.bz2: 91%|????????? | 261/288 [01:47<00:07, Extracting : path.py-12.0.1-py_0.tar.bz2: 91%|????????? | 262/288 [01:47<00:06,Extracting : path.py-12.0.1-py_0.tar.bz2: 91%|??????????| 263/288 [01:47<00:09,Extracting : pluggy-0.12.0-py_0.tar.bz2: 91%|??????????| 263/288 [01:47<00:09, Extracting : pygments-2.4.2-py_0.tar.bz2: 92%|??????????| 264/288 [01:47<00:08,Extracting : pygments-2.4.2-py_0.tar.bz2: 92%|??????????| 265/288 [01:47<00:06,Extracting : conda-verify-3.4.2-py_1.tar.bz2: 92%|??????????| 265/288 [01:47<00Extracting : flask-1.1.1-py_0.tar.bz2: 92%|??????????| 266/288 [01:48<00:06, 3Extracting : flask-1.1.1-py_0.tar.bz2: 93%|??????????| 267/288 [01:48<00:04, 4Extracting : jupyter_client-5.3.1-py_0.tar.bz2: 93%|??????????| 267/288 [01:48<Extracting : pytest-5.0.1-py37_0.tar.bz2: 93%|??????????| 268/288 [01:48<00:04,Extracting : pytest-5.0.1-py37_0.tar.bz2: 93%|??????????| 269/288 [01:48<00:03,Extracting : ipython-7.6.1-py37h39e3cac_0.tar.bz2: 93%|??????????| 269/288 [01:Extracting : nbconvert-5.5.0-py_0.tar.bz2: 94%|??????????| 270/288 [01:48<00:03Extracting : nbconvert-5.5.0-py_0.tar.bz2: 94%|??????????| 271/288 [01:48<00:02Extracting : conda-4.7.10-py37_0.tar.bz2: 94%|??????????| 271/288 [01:48<00:02,Extracting : notebook-6.0.0-py37_0.tar.bz2: 94%|??????????| 272/288 [01:50<00:0Extracting : notebook-6.0.0-py37_0.tar.bz2: 95%|??????????| 273/288 [01:50<00:0Extracting : qtconsole-4.5.1-py_0.tar.bz2: 95%|??????????| 273/288 [01:50<00:05Extracting : qtconsole-4.5.1-py_0.tar.bz2: 95%|??????????| 274/288 [01:50<00:05Extracting : sphinx-2.1.2-py_0.tar.bz2: 95%|??????????| 274/288 [01:51<00:05, Extracting : sphinx-2.1.2-py_0.tar.bz2: 95%|??????????| 275/288 [01:51<00:07, Extracting : spyder-kernels-0.5.1-py37_0.tar.bz2: 95%|??????????| 275/288 [01:5Extracting : anaconda-navigator-1.9.7-py37_0.tar.bz2: 96%|??????????| 276/288 [Extracting : anaconda-navigator-1.9.7-py37_0.tar.bz2: 96%|??????????| 277/288 [Extracting : anaconda-project-0.8.3-py_0.tar.bz2: 96%|??????????| 277/288 [01:5Extracting : conda-build-3.18.8-py37_0.tar.bz2: 97%|??????????| 278/288 [01:52<Extracting : conda-build-3.18.8-py37_0.tar.bz2: 97%|??????????| 279/288 [01:52<Extracting : jupyterlab_server-1.0.0-py_0.tar.bz2: 97%|??????????| 279/288 [01:Extracting : numpydoc-0.9.1-py_0.tar.bz2: 97%|??????????| 280/288 [01:52<00:02,Extracting : widgetsnbextension-3.5.0-py37_0.tar.bz2: 98%|??????????| 281/288 [Extracting : widgetsnbextension-3.5.0-py37_0.tar.bz2: 98%|??????????| 282/288 [Extracting : ipywidgets-7.5.0-py_0.tar.bz2: 98%|??????????| 282/288 [01:53<00:0Extracting : ipywidgets-7.5.0-py_0.tar.bz2: 98%|??????????| 283/288 [01:53<00:0Extracting : jupyterlab-1.0.2-py37hf63ae98_0.tar.bz2: 98%|??????????| 283/288 [Extracting : jupyterlab-1.0.2-py37hf63ae98_0.tar.bz2: 99%|??????????| 284/288 [Extracting : spyder-3.3.6-py37_0.tar.bz2: 99%|??????????| 284/288 [01:56<00:04,Extracting : spyder-3.3.6-py37_0.tar.bz2: 99%|??????????| 285/288 [01:56<00:03,Extracting : scipy-1.3.0-py37h7c811a0_0.tar.bz2: 99%|??????????| 285/288 [02:00Extracting : scipy-1.3.0-py37h7c811a0_0.tar.bz2: 99%|??????????| 286/288 [02:00Extracting : dask-2.1.0-py_0.tar.bz2: 99%|??????????| 286/288 [02:01<00:03, 1.Extracting : dask-2.1.0-py_0.tar.bz2: 100%|??????????| 287/288 [02:01<00:01, 1.Extracting : anaconda-2019.07-py37_0.tar.bz2: 100%|??????????| 287/288 [02:01<00Extracting : anaconda-2019.07-py37_0.tar.bz2: 100%|??????????| 288/288 [02:01<00 Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /home/anaconda/anaconda3
added / updated specs:
- _ipyw_jlab_nb_ext_conf==0.1.0=py37_0
- _libgcc_mutex==0.1=main
- alabaster==0.7.12=py37_0
- anaconda-client==1.7.2=py37_0
- anaconda-navigator==1.9.7=py37_0
- anaconda-project==0.8.3=py_0
- anaconda==2019.07=py37_0
- asn1crypto==0.24.0=py37_0
- astroid==2.2.5=py37_0
- astropy==3.2.1=py37h7b6447c_0
- atomicwrites==1.3.0=py37_1
- attrs==19.1.0=py37_1
- babel==2.7.0=py_0
- backcall==0.1.0=py37_0
- backports.functools_lru_cache==1.5=py_2
- backports.os==0.1.1=py37_0
- backports.shutil_get_terminal_size==1.0.0=py37_2
- backports.tempfile==1.0=py_1
- backports.weakref==1.0.post1=py_1
- backports==1.0=py_2
- beautifulsoup4==4.7.1=py37_1
- bitarray==0.9.3=py37h7b6447c_0
- bkcharts==0.2=py37_0
- blas==1.0=mkl
- bleach==3.1.0=py37_0
- blosc==1.16.3=hd408876_0
- bokeh==1.2.0=py37_0
- boto==2.49.0=py37_0
- bottleneck==1.2.1=py37h035aef0_1
- bzip2==1.0.8=h7b6447c_0
- ca-certificates==2019.5.15=0
- cairo==1.14.12=h8948797_3
- certifi==2019.6.16=py37_0
- cffi==1.12.3=py37h2e261b9_0
- chardet==3.0.4=py37_1
- click==7.0=py37_0
- cloudpickle==1.2.1=py_0
- clyent==1.2.2=py37_1
- colorama==0.4.1=py37_0
- conda-build==3.18.8=py37_0
- conda-env==2.6.0=1
- conda-package-handling==1.3.11=py37_0
- conda-verify==3.4.2=py_1
- conda==4.7.10=py37_0
- contextlib2==0.5.5=py37_0
- cryptography==2.7=py37h1ba5d50_0
- curl==7.65.2=hbc83047_0
- cycler==0.10.0=py37_0
- cython==0.29.12=py37he6710b0_0
- cytoolz==0.10.0=py37h7b6447c_0
- dask-core==2.1.0=py_0
- dask==2.1.0=py_0
- dbus==1.13.6=h746ee38_0
- decorator==4.4.0=py37_1
- defusedxml==0.6.0=py_0
- distributed==2.1.0=py_0
- docutils==0.14=py37_0
- entrypoints==0.3=py37_0
- et_xmlfile==1.0.1=py37_0
- expat==2.2.6=he6710b0_0
- fastcache==1.1.0=py37h7b6447c_0
- filelock==3.0.12=py_0
- flask==1.1.1=py_0
- fontconfig==2.13.0=h9420a91_0
- freetype==2.9.1=h8a8886c_1
- fribidi==1.0.5=h7b6447c_0
- future==0.17.1=py37_0
- get_terminal_size==1.0.0=haa9412d_0
- gevent==1.4.0=py37h7b6447c_0
- glib==2.56.2=hd408876_0
- glob2==0.7=py_0
- gmp==6.1.2=h6c8ec71_1
- gmpy2==2.0.8=py37h10f8cd9_2
- graphite2==1.3.13=h23475e2_0
- greenlet==0.4.15=py37h7b6447c_0
- gst-plugins-base==1.14.0=hbbd80ab_1
- gstreamer==1.14.0=hb453b48_1
- h5py==2.9.0=py37h7918eee_0
- harfbuzz==1.8.8=hffaf4a1_0
- hdf5==1.10.4=hb1b8bf9_0
- heapdict==1.0.0=py37_2
- html5lib==1.0.1=py37_0
- icu==58.2=h9c2bf20_1
- idna==2.8=py37_0
- imageio==2.5.0=py37_0
- imagesize==1.1.0=py37_0
- importlib_metadata==0.17=py37_1
- intel-openmp==2019.4=243
- ipykernel==5.1.1=py37h39e3cac_0
- ipython==7.6.1=py37h39e3cac_0
- ipython_genutils==0.2.0=py37_0
- ipywidgets==7.5.0=py_0
- isort==4.3.21=py37_0
- itsdangerous==1.1.0=py37_0
- jbig==2.1=hdba287a_0
- jdcal==1.4.1=py_0
- jedi==0.13.3=py37_0
- jeepney==0.4=py37_0
- jinja2==2.10.1=py37_0
- joblib==0.13.2=py37_0
- jpeg==9b=h024ee3a_2
- json5==0.8.4=py_0
- jsonschema==3.0.1=py37_0
- jupyter==1.0.0=py37_7
- jupyter_client==5.3.1=py_0
- jupyter_console==6.0.0=py37_0
- jupyter_core==4.5.0=py_0
- jupyterlab==1.0.2=py37hf63ae98_0
- jupyterlab_server==1.0.0=py_0
- keyring==18.0.0=py37_0
- kiwisolver==1.1.0=py37he6710b0_0
- krb5==1.16.1=h173b8e3_7
- lazy-object-proxy==1.4.1=py37h7b6447c_0
- libarchive==3.3.3=h5d8350f_5
- libcurl==7.65.2=h20c2e04_0
- libedit==3.1.20181209=hc058e9b_0
- libffi==3.2.1=hd88cf55_4
- libgcc-ng==9.1.0=hdf63c60_0
- libgfortran-ng==7.3.0=hdf63c60_0
- liblief==0.9.0=h7725739_2
- libpng==1.6.37=hbc83047_0
- libsodium==1.0.16=h1bed415_0
- libssh2==1.8.2=h1ba5d50_0
- libstdcxx-ng==9.1.0=hdf63c60_0
- libtiff==4.0.10=h2733197_2
- libtool==2.4.6=h7b6447c_5
- libuuid==1.0.3=h1bed415_2
- libxcb==1.13=h1bed415_1
- libxml2==2.9.9=hea5a465_1
- libxslt==1.1.33=h7d1a2b0_0
- llvmlite==0.29.0=py37hd408876_0
- locket==0.2.0=py37_1
- lxml==4.3.4=py37hefd8a0e_0
- lz4-c==1.8.1.2=h14c3975_0
- lzo==2.10=h49e0be7_2
- markupsafe==1.1.1=py37h7b6447c_0
- matplotlib==3.1.0=py37h5429711_0
- mccabe==0.6.1=py37_1
- mistune==0.8.4=py37h7b6447c_0
- mkl-service==2.0.2=py37h7b6447c_0
- mkl==2019.4=243
- mkl_fft==1.0.12=py37ha843d7b_0
- mkl_random==1.0.2=py37hd81dba3_0
- mock==3.0.5=py37_0
- more-itertools==7.0.0=py37_0
- mpc==1.1.0=h10f8cd9_1
- mpfr==4.0.1=hdf1c602_3
- mpmath==1.1.0=py37_0
- msgpack-python==0.6.1=py37hfd86e86_1
- multipledispatch==0.6.0=py37_0
- navigator-updater==0.2.1=py37_0
- nbconvert==5.5.0=py_0
- nbformat==4.4.0=py37_0
- ncurses==6.1=he6710b0_1
- networkx==2.3=py_0
- nltk==3.4.4=py37_0
- nose==1.3.7=py37_2
- notebook==6.0.0=py37_0
- numba==0.44.1=py37h962f231_0
- numexpr==2.6.9=py37h9e4a6bb_0
- numpy-base==1.16.4=py37hde5b4d6_0
- numpy==1.16.4=py37h7e9f1db_0
- numpydoc==0.9.1=py_0
- olefile==0.46=py37_0
- openpyxl==2.6.2=py_0
- openssl==1.1.1c=h7b6447c_1
- packaging==19.0=py37_0
- pandas==0.24.2=py37he6710b0_0
- pandoc==2.2.3.2=0
- pandocfilters==1.4.2=py37_1
- pango==1.42.4=h049681c_0
- parso==0.5.0=py_0
- partd==1.0.0=py_0
- patchelf==0.9=he6710b0_3
- path.py==12.0.1=py_0
- pathlib2==2.3.4=py37_0
- patsy==0.5.1=py37_0
- pcre==8.43=he6710b0_0
- pep8==1.7.1=py37_0
- pexpect==4.7.0=py37_0
- pickleshare==0.7.5=py37_0
- pillow==6.1.0=py37h34e0f95_0
- pip==19.1.1=py37_0
- pixman==0.38.0=h7b6447c_0
- pkginfo==1.5.0.1=py37_0
- pluggy==0.12.0=py_0
- ply==3.11=py37_0
- prometheus_client==0.7.1=py_0
- prompt_toolkit==2.0.9=py37_0
- psutil==5.6.3=py37h7b6447c_0
- ptyprocess==0.6.0=py37_0
- py-lief==0.9.0=py37h7725739_2
- py==1.8.0=py37_0
- pycodestyle==2.5.0=py37_0
- pycosat==0.6.3=py37h14c3975_0
- pycparser==2.19=py37_0
- pycrypto==2.6.1=py37h14c3975_9
- pycurl==7.43.0.3=py37h1ba5d50_0
- pyflakes==2.1.1=py37_0
- pygments==2.4.2=py_0
- pylint==2.3.1=py37_0
- pyodbc==4.0.26=py37he6710b0_0
- pyopenssl==19.0.0=py37_0
- pyparsing==2.4.0=py_0
- pyqt==5.9.2=py37h05f1152_2
- pyrsistent==0.14.11=py37h7b6447c_0
- pysocks==1.7.0=py37_0
- pytables==3.5.2=py37h71ec239_1
- pytest-arraydiff==0.3=py37h39e3cac_0
- pytest-astropy==0.5.0=py37_0
- pytest-doctestplus==0.3.0=py37_0
- pytest-openfiles==0.3.2=py37_0
- pytest-remotedata==0.3.1=py37_0
- pytest==5.0.1=py37_0
- python-dateutil==2.8.0=py37_0
- python-libarchive-c==2.8=py37_11
- python==3.7.3=h0371630_0
- pytz==2019.1=py_0
- pywavelets==1.0.3=py37hdd07704_1
- pyyaml==5.1.1=py37h7b6447c_0
- pyzmq==18.0.0=py37he6710b0_0
- qt==5.9.7=h5867ecd_1
- qtawesome==0.5.7=py37_1
- qtconsole==4.5.1=py_0
- qtpy==1.8.0=py_0
- readline==7.0=h7b6447c_5
- requests==2.22.0=py37_0
- rope==0.14.0=py_0
- ruamel_yaml==0.15.46=py37h14c3975_0
- scikit-image==0.15.0=py37he6710b0_0
- scikit-learn==0.21.2=py37hd81dba3_0
- scipy==1.3.0=py37h7c811a0_0
- seaborn==0.9.0=py37_0
- secretstorage==3.1.1=py37_0
- send2trash==1.5.0=py37_0
- setuptools==41.0.1=py37_0
- simplegeneric==0.8.1=py37_2
- singledispatch==3.4.0.3=py37_0
- sip==4.19.8=py37hf484d3e_0
- six==1.12.0=py37_0
- snappy==1.1.7=hbae5bb6_3
- snowballstemmer==1.9.0=py_0
- sortedcollections==1.1.2=py37_0
- sortedcontainers==2.1.0=py37_0
- soupsieve==1.8=py37_0
- sphinx==2.1.2=py_0
- sphinxcontrib-applehelp==1.0.1=py_0
- sphinxcontrib-devhelp==1.0.1=py_0
- sphinxcontrib-htmlhelp==1.0.2=py_0
- sphinxcontrib-jsmath==1.0.1=py_0
- sphinxcontrib-qthelp==1.0.2=py_0
- sphinxcontrib-serializinghtml==1.1.3=py_0
- sphinxcontrib-websupport==1.1.2=py_0
- sphinxcontrib==1.0=py37_1
- spyder-kernels==0.5.1=py37_0
- spyder==3.3.6=py37_0
- sqlalchemy==1.3.5=py37h7b6447c_0
- sqlite==3.29.0=h7b6447c_0
- statsmodels==0.10.0=py37hdd07704_0
- sympy==1.4=py37_0
- tblib==1.4.0=py_0
- terminado==0.8.2=py37_0
- testpath==0.4.2=py37_0
- tk==8.6.8=hbc83047_0
- toolz==0.10.0=py_0
- tornado==6.0.3=py37h7b6447c_0
- tqdm==4.32.1=py_0
- traitlets==4.3.2=py37_0
- unicodecsv==0.14.1=py37_0
- unixodbc==2.3.7=h14c3975_0
- urllib3==1.24.2=py37_0
- wcwidth==0.1.7=py37_0
- webencodings==0.5.1=py37_1
- werkzeug==0.15.4=py_0
- wheel==0.33.4=py37_0
- widgetsnbextension==3.5.0=py37_0
- wrapt==1.11.2=py37h7b6447c_0
- wurlitzer==1.0.2=py37_0
- xlrd==1.2.0=py37_0
- xlsxwriter==1.1.8=py_0
- xlwt==1.3.0=py37_0
- xz==5.2.4=h14c3975_4
- yaml==0.1.7=had09818_2
- zeromq==4.3.1=he6710b0_3
- zict==1.0.0=py_0
- zipp==0.5.1=py_0
- zlib==1.2.11=h7b6447c_3
- zstd==1.3.7=h0b5b093_0
The following NEW packages will be INSTALLED:
_ipyw_jlab_nb_ext~ pkgs/main/linux-64::_ipyw_jlab_nb_ext_conf-0.1.0-py37_0
_libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main
alabaster pkgs/main/linux-64::alabaster-0.7.12-py37_0
anaconda pkgs/main/linux-64::anaconda-2019.07-py37_0
anaconda-client pkgs/main/linux-64::anaconda-client-1.7.2-py37_0
anaconda-navigator pkgs/main/linux-64::anaconda-navigator-1.9.7-py37_0
anaconda-project pkgs/main/noarch::anaconda-project-0.8.3-py_0
asn1crypto pkgs/main/linux-64::asn1crypto-0.24.0-py37_0
astroid pkgs/main/linux-64::astroid-2.2.5-py37_0
astropy pkgs/main/linux-64::astropy-3.2.1-py37h7b6447c_0
atomicwrites pkgs/main/linux-64::atomicwrites-1.3.0-py37_1
attrs pkgs/main/linux-64::attrs-19.1.0-py37_1
babel pkgs/main/noarch::babel-2.7.0-py_0
backcall pkgs/main/linux-64::backcall-0.1.0-py37_0
backports pkgs/main/noarch::backports-1.0-py_2
backports.functoo~ pkgs/main/noarch::backports.functools_lru_cache-1.5-py_2
backports.os pkgs/main/linux-64::backports.os-0.1.1-py37_0
backports.shutil_~ pkgs/main/linux-64::backports.shutil_get_terminal_size-1.0.0-py37_2
backports.tempfile pkgs/main/noarch::backports.tempfile-1.0-py_1
backports.weakref pkgs/main/noarch::backports.weakref-1.0.post1-py_1
beautifulsoup4 pkgs/main/linux-64::beautifulsoup4-4.7.1-py37_1
bitarray pkgs/main/linux-64::bitarray-0.9.3-py37h7b6447c_0
bkcharts pkgs/main/linux-64::bkcharts-0.2-py37_0
blas pkgs/main/linux-64::blas-1.0-mkl
bleach pkgs/main/linux-64::bleach-3.1.0-py37_0
blosc pkgs/main/linux-64::blosc-1.16.3-hd408876_0
bokeh pkgs/main/linux-64::bokeh-1.2.0-py37_0
boto pkgs/main/linux-64::boto-2.49.0-py37_0
bottleneck pkgs/main/linux-64::bottleneck-1.2.1-py37h035aef0_1
bzip2 pkgs/main/linux-64::bzip2-1.0.8-h7b6447c_0
ca-certificates pkgs/main/linux-64::ca-certificates-2019.5.15-0
cairo pkgs/main/linux-64::cairo-1.14.12-h8948797_3
certifi pkgs/main/linux-64::certifi-2019.6.16-py37_0
cffi pkgs/main/linux-64::cffi-1.12.3-py37h2e261b9_0
chardet pkgs/main/linux-64::chardet-3.0.4-py37_1
click pkgs/main/linux-64::click-7.0-py37_0
cloudpickle pkgs/main/noarch::cloudpickle-1.2.1-py_0
clyent pkgs/main/linux-64::clyent-1.2.2-py37_1
colorama pkgs/main/linux-64::colorama-0.4.1-py37_0
conda pkgs/main/linux-64::conda-4.7.10-py37_0
conda-build pkgs/main/linux-64::conda-build-3.18.8-py37_0
conda-env pkgs/main/linux-64::conda-env-2.6.0-1
conda-package-han~ pkgs/main/linux-64::conda-package-handling-1.3.11-py37_0
conda-verify pkgs/main/noarch::conda-verify-3.4.2-py_1
contextlib2 pkgs/main/linux-64::contextlib2-0.5.5-py37_0
cryptography pkgs/main/linux-64::cryptography-2.7-py37h1ba5d50_0
curl pkgs/main/linux-64::curl-7.65.2-hbc83047_0
cycler pkgs/main/linux-64::cycler-0.10.0-py37_0
cython pkgs/main/linux-64::cython-0.29.12-py37he6710b0_0
cytoolz pkgs/main/linux-64::cytoolz-0.10.0-py37h7b6447c_0
dask pkgs/main/noarch::dask-2.1.0-py_0
dask-core pkgs/main/noarch::dask-core-2.1.0-py_0
dbus pkgs/main/linux-64::dbus-1.13.6-h746ee38_0
decorator pkgs/main/linux-64::decorator-4.4.0-py37_1
defusedxml pkgs/main/noarch::defusedxml-0.6.0-py_0
distributed pkgs/main/noarch::distributed-2.1.0-py_0
docutils pkgs/main/linux-64::docutils-0.14-py37_0
entrypoints pkgs/main/linux-64::entrypoints-0.3-py37_0
et_xmlfile pkgs/main/linux-64::et_xmlfile-1.0.1-py37_0
expat pkgs/main/linux-64::expat-2.2.6-he6710b0_0
fastcache pkgs/main/linux-64::fastcache-1.1.0-py37h7b6447c_0
filelock pkgs/main/noarch::filelock-3.0.12-py_0
flask pkgs/main/noarch::flask-1.1.1-py_0
fontconfig pkgs/main/linux-64::fontconfig-2.13.0-h9420a91_0
freetype pkgs/main/linux-64::freetype-2.9.1-h8a8886c_1
fribidi pkgs/main/linux-64::fribidi-1.0.5-h7b6447c_0
future pkgs/main/linux-64::future-0.17.1-py37_0
get_terminal_size pkgs/main/linux-64::get_terminal_size-1.0.0-haa9412d_0
gevent pkgs/main/linux-64::gevent-1.4.0-py37h7b6447c_0
glib pkgs/main/linux-64::glib-2.56.2-hd408876_0
glob2 pkgs/main/noarch::glob2-0.7-py_0
gmp pkgs/main/linux-64::gmp-6.1.2-h6c8ec71_1
gmpy2 pkgs/main/linux-64::gmpy2-2.0.8-py37h10f8cd9_2
graphite2 pkgs/main/linux-64::graphite2-1.3.13-h23475e2_0
greenlet pkgs/main/linux-64::greenlet-0.4.15-py37h7b6447c_0
gst-plugins-base pkgs/main/linux-64::gst-plugins-base-1.14.0-hbbd80ab_1
gstreamer pkgs/main/linux-64::gstreamer-1.14.0-hb453b48_1
h5py pkgs/main/linux-64::h5py-2.9.0-py37h7918eee_0
harfbuzz pkgs/main/linux-64::harfbuzz-1.8.8-hffaf4a1_0
hdf5 pkgs/main/linux-64::hdf5-1.10.4-hb1b8bf9_0
heapdict pkgs/main/linux-64::heapdict-1.0.0-py37_2
html5lib pkgs/main/linux-64::html5lib-1.0.1-py37_0
icu pkgs/main/linux-64::icu-58.2-h9c2bf20_1
idna pkgs/main/linux-64::idna-2.8-py37_0
imageio pkgs/main/linux-64::imageio-2.5.0-py37_0
imagesize pkgs/main/linux-64::imagesize-1.1.0-py37_0
importlib_metadata pkgs/main/linux-64::importlib_metadata-0.17-py37_1
intel-openmp pkgs/main/linux-64::intel-openmp-2019.4-243
ipykernel pkgs/main/linux-64::ipykernel-5.1.1-py37h39e3cac_0
ipython pkgs/main/linux-64::ipython-7.6.1-py37h39e3cac_0
ipython_genutils pkgs/main/linux-64::ipython_genutils-0.2.0-py37_0
ipywidgets pkgs/main/noarch::ipywidgets-7.5.0-py_0
isort pkgs/main/linux-64::isort-4.3.21-py37_0
itsdangerous pkgs/main/linux-64::itsdangerous-1.1.0-py37_0
jbig pkgs/main/linux-64::jbig-2.1-hdba287a_0
jdcal pkgs/main/noarch::jdcal-1.4.1-py_0
jedi pkgs/main/linux-64::jedi-0.13.3-py37_0
jeepney pkgs/main/linux-64::jeepney-0.4-py37_0
jinja2 pkgs/main/linux-64::jinja2-2.10.1-py37_0
joblib pkgs/main/linux-64::joblib-0.13.2-py37_0
jpeg pkgs/main/linux-64::jpeg-9b-h024ee3a_2
json5 pkgs/main/noarch::json5-0.8.4-py_0
jsonschema pkgs/main/linux-64::jsonschema-3.0.1-py37_0
jupyter pkgs/main/linux-64::jupyter-1.0.0-py37_7
jupyter_client pkgs/main/noarch::jupyter_client-5.3.1-py_0
jupyter_console pkgs/main/linux-64::jupyter_console-6.0.0-py37_0
jupyter_core pkgs/main/noarch::jupyter_core-4.5.0-py_0
jupyterlab pkgs/main/linux-64::jupyterlab-1.0.2-py37hf63ae98_0
jupyterlab_server pkgs/main/noarch::jupyterlab_server-1.0.0-py_0
keyring pkgs/main/linux-64::keyring-18.0.0-py37_0
kiwisolver pkgs/main/linux-64::kiwisolver-1.1.0-py37he6710b0_0
krb5 pkgs/main/linux-64::krb5-1.16.1-h173b8e3_7
lazy-object-proxy pkgs/main/linux-64::lazy-object-proxy-1.4.1-py37h7b6447c_0
libarchive pkgs/main/linux-64::libarchive-3.3.3-h5d8350f_5
libcurl pkgs/main/linux-64::libcurl-7.65.2-h20c2e04_0
libedit pkgs/main/linux-64::libedit-3.1.20181209-hc058e9b_0
libffi pkgs/main/linux-64::libffi-3.2.1-hd88cf55_4
libgcc-ng pkgs/main/linux-64::libgcc-ng-9.1.0-hdf63c60_0
libgfortran-ng pkgs/main/linux-64::libgfortran-ng-7.3.0-hdf63c60_0
liblief pkgs/main/linux-64::liblief-0.9.0-h7725739_2
libpng pkgs/main/linux-64::libpng-1.6.37-hbc83047_0
libsodium pkgs/main/linux-64::libsodium-1.0.16-h1bed415_0
libssh2 pkgs/main/linux-64::libssh2-1.8.2-h1ba5d50_0
libstdcxx-ng pkgs/main/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0
libtiff pkgs/main/linux-64::libtiff-4.0.10-h2733197_2
libtool pkgs/main/linux-64::libtool-2.4.6-h7b6447c_5
libuuid pkgs/main/linux-64::libuuid-1.0.3-h1bed415_2
libxcb pkgs/main/linux-64::libxcb-1.13-h1bed415_1
libxml2 pkgs/main/linux-64::libxml2-2.9.9-hea5a465_1
libxslt pkgs/main/linux-64::libxslt-1.1.33-h7d1a2b0_0
llvmlite pkgs/main/linux-64::llvmlite-0.29.0-py37hd408876_0
locket pkgs/main/linux-64::locket-0.2.0-py37_1
lxml pkgs/main/linux-64::lxml-4.3.4-py37hefd8a0e_0
lz4-c pkgs/main/linux-64::lz4-c-1.8.1.2-h14c3975_0
lzo pkgs/main/linux-64::lzo-2.10-h49e0be7_2
markupsafe pkgs/main/linux-64::markupsafe-1.1.1-py37h7b6447c_0
matplotlib pkgs/main/linux-64::matplotlib-3.1.0-py37h5429711_0
mccabe pkgs/main/linux-64::mccabe-0.6.1-py37_1
mistune pkgs/main/linux-64::mistune-0.8.4-py37h7b6447c_0
mkl pkgs/main/linux-64::mkl-2019.4-243
mkl-service pkgs/main/linux-64::mkl-service-2.0.2-py37h7b6447c_0
mkl_fft pkgs/main/linux-64::mkl_fft-1.0.12-py37ha843d7b_0
mkl_random pkgs/main/linux-64::mkl_random-1.0.2-py37hd81dba3_0
mock pkgs/main/linux-64::mock-3.0.5-py37_0
more-itertools pkgs/main/linux-64::more-itertools-7.0.0-py37_0
mpc pkgs/main/linux-64::mpc-1.1.0-h10f8cd9_1
mpfr pkgs/main/linux-64::mpfr-4.0.1-hdf1c602_3
mpmath pkgs/main/linux-64::mpmath-1.1.0-py37_0
msgpack-python pkgs/main/linux-64::msgpack-python-0.6.1-py37hfd86e86_1
multipledispatch pkgs/main/linux-64::multipledispatch-0.6.0-py37_0
navigator-updater pkgs/main/linux-64::navigator-updater-0.2.1-py37_0
nbconvert pkgs/main/noarch::nbconvert-5.5.0-py_0
nbformat pkgs/main/linux-64::nbformat-4.4.0-py37_0
ncurses pkgs/main/linux-64::ncurses-6.1-he6710b0_1
networkx pkgs/main/noarch::networkx-2.3-py_0
nltk pkgs/main/linux-64::nltk-3.4.4-py37_0
nose pkgs/main/linux-64::nose-1.3.7-py37_2
notebook pkgs/main/linux-64::notebook-6.0.0-py37_0
numba pkgs/main/linux-64::numba-0.44.1-py37h962f231_0
numexpr pkgs/main/linux-64::numexpr-2.6.9-py37h9e4a6bb_0
numpy pkgs/main/linux-64::numpy-1.16.4-py37h7e9f1db_0
numpy-base pkgs/main/linux-64::numpy-base-1.16.4-py37hde5b4d6_0
numpydoc pkgs/main/noarch::numpydoc-0.9.1-py_0
olefile pkgs/main/linux-64::olefile-0.46-py37_0
openpyxl pkgs/main/noarch::openpyxl-2.6.2-py_0
openssl pkgs/main/linux-64::openssl-1.1.1c-h7b6447c_1
packaging pkgs/main/linux-64::packaging-19.0-py37_0
pandas pkgs/main/linux-64::pandas-0.24.2-py37he6710b0_0
pandoc pkgs/main/linux-64::pandoc-2.2.3.2-0
pandocfilters pkgs/main/linux-64::pandocfilters-1.4.2-py37_1
pango pkgs/main/linux-64::pango-1.42.4-h049681c_0
parso pkgs/main/noarch::parso-0.5.0-py_0
partd pkgs/main/noarch::partd-1.0.0-py_0
patchelf pkgs/main/linux-64::patchelf-0.9-he6710b0_3
path.py pkgs/main/noarch::path.py-12.0.1-py_0
pathlib2 pkgs/main/linux-64::pathlib2-2.3.4-py37_0
patsy pkgs/main/linux-64::patsy-0.5.1-py37_0
pcre pkgs/main/linux-64::pcre-8.43-he6710b0_0
pep8 pkgs/main/linux-64::pep8-1.7.1-py37_0
pexpect pkgs/main/linux-64::pexpect-4.7.0-py37_0
pickleshare pkgs/main/linux-64::pickleshare-0.7.5-py37_0
pillow pkgs/main/linux-64::pillow-6.1.0-py37h34e0f95_0
pip pkgs/main/linux-64::pip-19.1.1-py37_0
pixman pkgs/main/linux-64::pixman-0.38.0-h7b6447c_0
pkginfo pkgs/main/linux-64::pkginfo-1.5.0.1-py37_0
pluggy pkgs/main/noarch::pluggy-0.12.0-py_0
ply pkgs/main/linux-64::ply-3.11-py37_0
prometheus_client pkgs/main/noarch::prometheus_client-0.7.1-py_0
prompt_toolkit pkgs/main/linux-64::prompt_toolkit-2.0.9-py37_0
psutil pkgs/main/linux-64::psutil-5.6.3-py37h7b6447c_0
ptyprocess pkgs/main/linux-64::ptyprocess-0.6.0-py37_0
py pkgs/main/linux-64::py-1.8.0-py37_0
py-lief pkgs/main/linux-64::py-lief-0.9.0-py37h7725739_2
pycodestyle pkgs/main/linux-64::pycodestyle-2.5.0-py37_0
pycosat pkgs/main/linux-64::pycosat-0.6.3-py37h14c3975_0
pycparser pkgs/main/linux-64::pycparser-2.19-py37_0
pycrypto pkgs/main/linux-64::pycrypto-2.6.1-py37h14c3975_9
pycurl pkgs/main/linux-64::pycurl-7.43.0.3-py37h1ba5d50_0
pyflakes pkgs/main/linux-64::pyflakes-2.1.1-py37_0
pygments pkgs/main/noarch::pygments-2.4.2-py_0
pylint pkgs/main/linux-64::pylint-2.3.1-py37_0
pyodbc pkgs/main/linux-64::pyodbc-4.0.26-py37he6710b0_0
pyopenssl pkgs/main/linux-64::pyopenssl-19.0.0-py37_0
pyparsing pkgs/main/noarch::pyparsing-2.4.0-py_0
pyqt pkgs/main/linux-64::pyqt-5.9.2-py37h05f1152_2
pyrsistent pkgs/main/linux-64::pyrsistent-0.14.11-py37h7b6447c_0
pysocks pkgs/main/linux-64::pysocks-1.7.0-py37_0
pytables pkgs/main/linux-64::pytables-3.5.2-py37h71ec239_1
pytest pkgs/main/linux-64::pytest-5.0.1-py37_0
pytest-arraydiff pkgs/main/linux-64::pytest-arraydiff-0.3-py37h39e3cac_0
pytest-astropy pkgs/main/linux-64::pytest-astropy-0.5.0-py37_0
pytest-doctestplus pkgs/main/linux-64::pytest-doctestplus-0.3.0-py37_0
pytest-openfiles pkgs/main/linux-64::pytest-openfiles-0.3.2-py37_0
pytest-remotedata pkgs/main/linux-64::pytest-remotedata-0.3.1-py37_0
python pkgs/main/linux-64::python-3.7.3-h0371630_0
python-dateutil pkgs/main/linux-64::python-dateutil-2.8.0-py37_0
python-libarchive~ pkgs/main/linux-64::python-libarchive-c-2.8-py37_11
pytz pkgs/main/noarch::pytz-2019.1-py_0
pywavelets pkgs/main/linux-64::pywavelets-1.0.3-py37hdd07704_1
pyyaml pkgs/main/linux-64::pyyaml-5.1.1-py37h7b6447c_0
pyzmq pkgs/main/linux-64::pyzmq-18.0.0-py37he6710b0_0
qt pkgs/main/linux-64::qt-5.9.7-h5867ecd_1
qtawesome pkgs/main/linux-64::qtawesome-0.5.7-py37_1
qtconsole pkgs/main/noarch::qtconsole-4.5.1-py_0
qtpy pkgs/main/noarch::qtpy-1.8.0-py_0
readline pkgs/main/linux-64::readline-7.0-h7b6447c_5
requests pkgs/main/linux-64::requests-2.22.0-py37_0
rope pkgs/main/noarch::rope-0.14.0-py_0
ruamel_yaml pkgs/main/linux-64::ruamel_yaml-0.15.46-py37h14c3975_0
scikit-image pkgs/main/linux-64::scikit-image-0.15.0-py37he6710b0_0
scikit-learn pkgs/main/linux-64::scikit-learn-0.21.2-py37hd81dba3_0
scipy pkgs/main/linux-64::scipy-1.3.0-py37h7c811a0_0
seaborn pkgs/main/linux-64::seaborn-0.9.0-py37_0
secretstorage pkgs/main/linux-64::secretstorage-3.1.1-py37_0
send2trash pkgs/main/linux-64::send2trash-1.5.0-py37_0
setuptools pkgs/main/linux-64::setuptools-41.0.1-py37_0
simplegeneric pkgs/main/linux-64::simplegeneric-0.8.1-py37_2
singledispatch pkgs/main/linux-64::singledispatch-3.4.0.3-py37_0
sip pkgs/main/linux-64::sip-4.19.8-py37hf484d3e_0
six pkgs/main/linux-64::six-1.12.0-py37_0
snappy pkgs/main/linux-64::snappy-1.1.7-hbae5bb6_3
snowballstemmer pkgs/main/noarch::snowballstemmer-1.9.0-py_0
sortedcollections pkgs/main/linux-64::sortedcollections-1.1.2-py37_0
sortedcontainers pkgs/main/linux-64::sortedcontainers-2.1.0-py37_0
soupsieve pkgs/main/linux-64::soupsieve-1.8-py37_0
sphinx pkgs/main/noarch::sphinx-2.1.2-py_0
sphinxcontrib pkgs/main/linux-64::sphinxcontrib-1.0-py37_1
sphinxcontrib-app~ pkgs/main/noarch::sphinxcontrib-applehelp-1.0.1-py_0
sphinxcontrib-dev~ pkgs/main/noarch::sphinxcontrib-devhelp-1.0.1-py_0
sphinxcontrib-htm~ pkgs/main/noarch::sphinxcontrib-htmlhelp-1.0.2-py_0
sphinxcontrib-jsm~ pkgs/main/noarch::sphinxcontrib-jsmath-1.0.1-py_0
sphinxcontrib-qth~ pkgs/main/noarch::sphinxcontrib-qthelp-1.0.2-py_0
sphinxcontrib-ser~ pkgs/main/noarch::sphinxcontrib-serializinghtml-1.1.3-py_0
sphinxcontrib-web~ pkgs/main/noarch::sphinxcontrib-websupport-1.1.2-py_0
spyder pkgs/main/linux-64::spyder-3.3.6-py37_0
spyder-kernels pkgs/main/linux-64::spyder-kernels-0.5.1-py37_0
sqlalchemy pkgs/main/linux-64::sqlalchemy-1.3.5-py37h7b6447c_0
sqlite pkgs/main/linux-64::sqlite-3.29.0-h7b6447c_0
statsmodels pkgs/main/linux-64::statsmodels-0.10.0-py37hdd07704_0
sympy pkgs/main/linux-64::sympy-1.4-py37_0
tblib pkgs/main/noarch::tblib-1.4.0-py_0
terminado pkgs/main/linux-64::terminado-0.8.2-py37_0
testpath pkgs/main/linux-64::testpath-0.4.2-py37_0
tk pkgs/main/linux-64::tk-8.6.8-hbc83047_0
toolz pkgs/main/noarch::toolz-0.10.0-py_0
tornado pkgs/main/linux-64::tornado-6.0.3-py37h7b6447c_0
tqdm pkgs/main/noarch::tqdm-4.32.1-py_0
traitlets pkgs/main/linux-64::traitlets-4.3.2-py37_0
unicodecsv pkgs/main/linux-64::unicodecsv-0.14.1-py37_0
unixodbc pkgs/main/linux-64::unixodbc-2.3.7-h14c3975_0
urllib3 pkgs/main/linux-64::urllib3-1.24.2-py37_0
wcwidth pkgs/main/linux-64::wcwidth-0.1.7-py37_0
webencodings pkgs/main/linux-64::webencodings-0.5.1-py37_1
werkzeug pkgs/main/noarch::werkzeug-0.15.4-py_0
wheel pkgs/main/linux-64::wheel-0.33.4-py37_0
widgetsnbextension pkgs/main/linux-64::widgetsnbextension-3.5.0-py37_0
wrapt pkgs/main/linux-64::wrapt-1.11.2-py37h7b6447c_0
wurlitzer pkgs/main/linux-64::wurlitzer-1.0.2-py37_0
xlrd pkgs/main/linux-64::xlrd-1.2.0-py37_0
xlsxwriter pkgs/main/noarch::xlsxwriter-1.1.8-py_0
xlwt pkgs/main/linux-64::xlwt-1.3.0-py37_0
xz pkgs/main/linux-64::xz-5.2.4-h14c3975_4
yaml pkgs/main/linux-64::yaml-0.1.7-had09818_2
zeromq pkgs/main/linux-64::zeromq-4.3.1-he6710b0_3
zict pkgs/main/noarch::zict-1.0.0-py_0
zipp pkgs/main/noarch::zipp-0.5.1-py_0
zlib pkgs/main/linux-64::zlib-1.2.11-h7b6447c_3
zstd pkgs/main/linux-64::zstd-1.3.7-h0b5b093_0
Preparing transaction: done
Executing transaction: - WARNING conda.core.envs_manager:register_env(46): Unable to register environment. Path not writable or missing.
environment location: /home/anaconda/anaconda3
registry file: /home/anaconda/.conda/environments.txt
done
installation finished.
Do you wish the installer to initialize Anaconda3
by running conda init? [yes|no]
[no] >>>
conda initを実行、インストーラーでAnaconda3を初期化するか聞かれます。yesを入力します。
yes
コマンド実行結果
[no] >>> yes
no change /home/anaconda/anaconda3/condabin/conda
no change /home/anaconda/anaconda3/bin/conda
no change /home/anaconda/anaconda3/bin/conda-env
no change /home/anaconda/anaconda3/bin/activate
no change /home/anaconda/anaconda3/bin/deactivate
no change /home/anaconda/anaconda3/etc/profile.d/conda.sh
no change /home/anaconda/anaconda3/etc/fish/conf.d/conda.fish
no change /home/anaconda/anaconda3/shell/condabin/Conda.psm1
no change /home/anaconda/anaconda3/shell/condabin/conda-hook.ps1
no change /home/anaconda/anaconda3/lib/python3.7/site-packages/xontrib/conda.xsh
no change /home/anaconda/anaconda3/etc/profile.d/conda.csh
modified /home/anaconda/.bashrc
==> For changes to take effect, close and re-open your current shell. <==
If you'd prefer that conda's base environment not be activated on startup,
set the auto_activate_base parameter to false:
conda config --set auto_activate_base false
Thank you for installing Anaconda3!
===========================================================================
Anaconda and JetBrains are working together to bring you Anaconda-powered
environments tightly integrated in the PyCharm IDE.
PyCharm for Anaconda is available at:
https://www.anaconda.com/pycharm
[anaconda@CENTOS7 ~]$
5.3 anacondaユーザで再ログイン
一旦、anacondaユーザからexitします。
exit
コマンド実行結果
[anaconda@CENTOS7 ~]$ exit
ログアウト
[root@CENTOS7 ~]#
再度、anacondaユーザーにスイッチします。
su - anaconda
コマンド実行結果
[root@CENTOS7 ~]# su - anaconda
最終ログイン: 2019/10/13 (日) 01:59:24 JST日時 pts/0
(base) [anaconda@CENTOS7 ~]$
「base環境」がアクティブ状態となります。
5.4 「base環境」自動アクティブ状態の解除
anacondaユーザーでログインすると、自動で「base環境」がアクティブ状態となりますが、なんとなく嫌なので、以下のコマンドで自動で「base環境」がアクティブ状態とならないよう設定します。
conda config --set auto_activate_base false
コマンド実行結果
(base) [anaconda@CENTOS7 ~]$ conda config --set auto_activate_base false
(base) [anaconda@CENTOS7 ~]$
一旦、anacondaユーザからexitします。
exit
コマンド実行結果
[anaconda@CENTOS7 ~]$ exit
ログアウト
[root@CENTOS7 ~]#
再度、anacondaユーザーにスイッチします。
su - anaconda
コマンド実行結果
[root@CENTOS7 ~]# su - anaconda
最終ログイン: 2019/10/13 (日) 02:28:44 JST日時 pts/0
[anaconda@CENTOS7 ~]$
自動で「base環境」がアクティブ状態とならないようになりました。
5.5 環境変数の設定
/home/anaconda配下に.anaconda.envを作成します。
/home/anaconda/.anaconda.env
export PATH=/home/anaconda/anaconda3/bin:$PATH
作成した環境変数（.anaconda.env）を読み込みます。
source ./.anaconda.env
コマンド実行結果
[anaconda@CENTOS7 ~]$ source ./.anaconda.env
[anaconda@CENTOS7 ~]$
5.6 バージョンの確認
anacondaのバージョンを確認します。
anaconda -V
コマンド実行結果
[anaconda@CENTOS7 ~]$ anaconda -V
anaconda Command line client (version 1.7.2)
[anaconda@CENTOS7 ~]$
Pythonのバージョンを確認します。
python --version
コマンド実行結果
[anaconda@CENTOS7 ~]$ python --version
Python 3.7.3
[anaconda@CENTOS7 ~]$
condaのバージョンを確認します。
conda -V
コマンド実行結果
[anaconda@CENTOS7 ~]$ conda -V
conda 4.7.10
[anaconda@CENTOS7 ~]$
5.7 condaをアップデート
condaを最新状態にアップデートします。
conda update conda
コマンド実行結果
[anaconda@CENTOS7 ~]$ conda update conda
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /home/anaconda/anaconda3
added / updated specs:
- conda
The following packages will be downloaded:
package | build
---------------------------|-----------------
conda-4.7.12 | py37_0 3.0 MB
conda-package-handling-1.6.0| py37h7b6447c_0 797 KB
------------------------------------------------------------
Total: 3.8 MB
The following packages will be UPDATED:
conda 4.7.10-py37_0 --> 4.7.12-py37_0
conda-package-han~ 1.3.11-py37_0 --> 1.6.0-py37h7b6447c_0
Proceed ([y]/n)?
アップデートする内容、及びアップデートするか聞かれるのでyを入力します。
y
コマンド実行結果
Proceed ([y]/n)? y
Downloading and Extracting Packages
conda-4.7.12 | 3.0 MB | ##################################### | 100%
conda-package-handli | 797 KB | ##################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
[anaconda@CENTOS7 ~]$
condaのバージョンを確認します。
conda -V
コマンド実行結果
[anaconda@CENTOS7 ~]$ conda -V
conda 4.7.12
[anaconda@CENTOS7 ~]$
6. 機械学習用の環境（ml_env）を作成
base環境以外に機械学習用の環境を作成します。ここでは環境名をml_envとしました。
conda create -n ml_env anaconda python=3.7
コマンド実行結果
[anaconda@CENTOS7 ~]$ conda create -n ml_env anaconda python=3.7
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /home/anaconda/anaconda3/envs/ml_env
added / updated specs:
- anaconda
- python=3.7
The following packages will be downloaded:
package | build
---------------------------|-----------------
_anaconda_depends-2019.03 | py37_0 6 KB
anaconda-custom | py37_1 3 KB
asn1crypto-1.0.1 | py37_0 161 KB
astroid-2.3.1 | py37_0 288 KB
astropy-3.2.2 | py37h7b6447c_0 7.1 MB
attrs-19.2.0 | py_0 39 KB
beautifulsoup4-4.8.0 | py37_0 152 KB
bitarray-1.0.1 | py37h7b6447c_0 60 KB
bokeh-1.3.4 | py37_0 3.6 MB
bzip2-1.0.8 | h7b6447c_0 78 KB
ca-certificates-2019.8.28 | 0 132 KB
certifi-2019.9.11 | py37_0 154 KB
chardet-3.0.4 | py37_1003 174 KB
cloudpickle-1.2.2 | py_0 29 KB
contextlib2-0.6.0 | py_0 16 KB
curl-7.65.3 | hbc83047_0 130 KB
cython-0.29.13 | py37he6710b0_0 2.0 MB
cytoolz-0.10.0 | py37h7b6447c_0 374 KB
dask-2.5.2 | py_0 12 KB
dask-core-2.5.2 | py_0 579 KB
distributed-2.5.2 | py_0 396 KB
docutils-0.15.2 | py37_0 660 KB
fsspec-0.5.2 | py_0 46 KB
heapdict-1.0.1 | py_0 9 KB
imageio-2.6.0 | py37_0 3.4 MB
importlib_metadata-0.23 | py37_0 43 KB
ipykernel-5.1.2 | py37h39e3cac_0 170 KB
ipython-7.8.0 | py37h39e3cac_0 985 KB
ipywidgets-7.5.1 | py_0 107 KB
jedi-0.15.1 | py37_0 704 KB
jeepney-0.4.1 | py_0 21 KB
jinja2-2.10.3 | py_0 95 KB
json5-0.8.5 | py_0 25 KB
jsonschema-3.0.2 | py37_0 92 KB
jupyter_client-5.3.3 | py37_1 137 KB
jupyterlab-1.1.4 | pyhf63ae98_0 4.4 MB
jupyterlab_server-1.0.6 | py_0 26 KB
lazy-object-proxy-1.4.2 | py37h7b6447c_0 29 KB
libcurl-7.65.3 | h20c2e04_0 431 KB
lxml-4.4.1 | py37hefd8a0e_0 1.4 MB
matplotlib-3.1.1 | py37h5429711_0 5.0 MB
mkl-service-2.3.0 | py37he904b0f_0 218 KB
mkl_fft-1.0.14 | py37ha843d7b_0 155 KB
mkl_random-1.1.0 | py37hd6b4f25_0 321 KB
more-itertools-7.2.0 | py37_0 100 KB
nbconvert-5.6.0 | py37_1 491 KB
nltk-3.4.5 | py37_0 1.7 MB
notebook-6.0.1 | py37_0 6.0 MB
numba-0.45.1 | py37h962f231_0 2.8 MB
numexpr-2.7.0 | py37h9e4a6bb_0 183 KB
numpy-1.17.2 | py37haad9e8e_0 4 KB
numpy-base-1.17.2 | py37hde5b4d6_0 4.2 MB
openpyxl-3.0.0 | py_0 157 KB
openssl-1.1.1d | h7b6447c_2 2.5 MB
packaging-19.2 | py_0 30 KB
pandas-0.25.1 | py37he6710b0_0 8.8 MB
parso-0.5.1 | py_0 68 KB
pathlib2-2.3.5 | py37_0 37 KB
pillow-6.2.0 | py37h34e0f95_0 643 KB
pip-19.2.3 | py37_0 1.9 MB
pluggy-0.13.0 | py37_0 31 KB
prompt_toolkit-2.0.10 | py_0 227 KB
pylint-2.4.2 | py37_0 429 KB
pyodbc-4.0.27 | py37he6710b0_0 68 KB
pyparsing-2.4.2 | py_0 61 KB
pyrsistent-0.15.4 | py37h7b6447c_0 92 KB
pysocks-1.7.1 | py37_0 30 KB
pytest-5.2.1 | py37_0 364 KB
pytest-doctestplus-0.4.0 | py_0 18 KB
pytest-openfiles-0.4.0 | py_0 10 KB
pytest-remotedata-0.3.2 | py37_0 15 KB
python-3.7.4 | h265db76_1 32.1 MB
python-libarchive-c-2.8 | py37_13 24 KB
pytz-2019.3 | py_0 231 KB
pyyaml-5.1.2 | py37h7b6447c_0 179 KB
pyzmq-18.1.0 | py37he6710b0_0 455 KB
qtawesome-0.6.0 | py_0 671 KB
qtconsole-4.5.5 | py_0 94 KB
qtpy-1.9.0 | py_0 39 KB
scikit-learn-0.21.3 | py37hd81dba3_0 4.9 MB
scipy-1.3.1 | py37h7c811a0_0 14.0 MB
setuptools-41.4.0 | py37_0 651 KB
snowballstemmer-2.0.0 | py_0 58 KB
soupsieve-1.9.3 | py37_0 60 KB
sphinx-2.2.0 | py_0 1.5 MB
spyder-3.3.6 | py37_0 2.2 MB
spyder-kernels-0.5.2 | py37_0 69 KB
sqlalchemy-1.3.9 | py37h7b6447c_0 1.8 MB
sqlite-3.30.0 | h7b6447c_0 1.9 MB
statsmodels-0.10.1 | py37hdd07704_0 7.4 MB
tbb-2019.8 | hfd86e86_0 1.1 MB
tqdm-4.36.1 | py_0 50 KB
traitlets-4.3.3 | py37_0 138 KB
werkzeug-0.16.0 | py_0 255 KB
wheel-0.33.6 | py37_0 40 KB
widgetsnbextension-3.5.1 | py37_0 862 KB
wurlitzer-1.0.3 | py37_0 14 KB
xlsxwriter-1.2.1 | py_0 106 KB
zipp-0.6.0 | py_0 9 KB
------------------------------------------------------------
Total: 135.3 MB
The following NEW packages will be INSTALLED:
_anaconda_depends pkgs/main/linux-64::_anaconda_depends-2019.03-py37_0
_libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main
alabaster pkgs/main/linux-64::alabaster-0.7.12-py37_0
anaconda pkgs/main/linux-64::anaconda-custom-py37_1
anaconda-client pkgs/main/linux-64::anaconda-client-1.7.2-py37_0
anaconda-project pkgs/main/noarch::anaconda-project-0.8.3-py_0
asn1crypto pkgs/main/linux-64::asn1crypto-1.0.1-py37_0
astroid pkgs/main/linux-64::astroid-2.3.1-py37_0
astropy pkgs/main/linux-64::astropy-3.2.2-py37h7b6447c_0
atomicwrites pkgs/main/linux-64::atomicwrites-1.3.0-py37_1
attrs pkgs/main/noarch::attrs-19.2.0-py_0
babel pkgs/main/noarch::babel-2.7.0-py_0
backcall pkgs/main/linux-64::backcall-0.1.0-py37_0
backports pkgs/main/noarch::backports-1.0-py_2
backports.os pkgs/main/linux-64::backports.os-0.1.1-py37_0
backports.shutil_~ pkgs/main/linux-64::backports.shutil_get_terminal_size-1.0.0-py37_2
beautifulsoup4 pkgs/main/linux-64::beautifulsoup4-4.8.0-py37_0
bitarray pkgs/main/linux-64::bitarray-1.0.1-py37h7b6447c_0
bkcharts pkgs/main/linux-64::bkcharts-0.2-py37_0
blas pkgs/main/linux-64::blas-1.0-mkl
bleach pkgs/main/linux-64::bleach-3.1.0-py37_0
blosc pkgs/main/linux-64::blosc-1.16.3-hd408876_0
bokeh pkgs/main/linux-64::bokeh-1.3.4-py37_0
boto pkgs/main/linux-64::boto-2.49.0-py37_0
bottleneck pkgs/main/linux-64::bottleneck-1.2.1-py37h035aef0_1
bzip2 pkgs/main/linux-64::bzip2-1.0.8-h7b6447c_0
ca-certificates pkgs/main/linux-64::ca-certificates-2019.8.28-0
cairo pkgs/main/linux-64::cairo-1.14.12-h8948797_3
certifi pkgs/main/linux-64::certifi-2019.9.11-py37_0
cffi pkgs/main/linux-64::cffi-1.12.3-py37h2e261b9_0
chardet pkgs/main/linux-64::chardet-3.0.4-py37_1003
click pkgs/main/linux-64::click-7.0-py37_0
cloudpickle pkgs/main/noarch::cloudpickle-1.2.2-py_0
clyent pkgs/main/linux-64::clyent-1.2.2-py37_1
colorama pkgs/main/linux-64::colorama-0.4.1-py37_0
contextlib2 pkgs/main/noarch::contextlib2-0.6.0-py_0
cryptography pkgs/main/linux-64::cryptography-2.7-py37h1ba5d50_0
curl pkgs/main/linux-64::curl-7.65.3-hbc83047_0
cycler pkgs/main/linux-64::cycler-0.10.0-py37_0
cython pkgs/main/linux-64::cython-0.29.13-py37he6710b0_0
cytoolz pkgs/main/linux-64::cytoolz-0.10.0-py37h7b6447c_0
dask pkgs/main/noarch::dask-2.5.2-py_0
dask-core pkgs/main/noarch::dask-core-2.5.2-py_0
dbus pkgs/main/linux-64::dbus-1.13.6-h746ee38_0
decorator pkgs/main/linux-64::decorator-4.4.0-py37_1
defusedxml pkgs/main/noarch::defusedxml-0.6.0-py_0
distributed pkgs/main/noarch::distributed-2.5.2-py_0
docutils pkgs/main/linux-64::docutils-0.15.2-py37_0
entrypoints pkgs/main/linux-64::entrypoints-0.3-py37_0
et_xmlfile pkgs/main/linux-64::et_xmlfile-1.0.1-py37_0
expat pkgs/main/linux-64::expat-2.2.6-he6710b0_0
fastcache pkgs/main/linux-64::fastcache-1.1.0-py37h7b6447c_0
filelock pkgs/main/noarch::filelock-3.0.12-py_0
flask pkgs/main/noarch::flask-1.1.1-py_0
fontconfig pkgs/main/linux-64::fontconfig-2.13.0-h9420a91_0
freetype pkgs/main/linux-64::freetype-2.9.1-h8a8886c_1
fribidi pkgs/main/linux-64::fribidi-1.0.5-h7b6447c_0
fsspec pkgs/main/noarch::fsspec-0.5.2-py_0
get_terminal_size pkgs/main/linux-64::get_terminal_size-1.0.0-haa9412d_0
gevent pkgs/main/linux-64::gevent-1.4.0-py37h7b6447c_0
glib pkgs/main/linux-64::glib-2.56.2-hd408876_0
glob2 pkgs/main/noarch::glob2-0.7-py_0
gmp pkgs/main/linux-64::gmp-6.1.2-h6c8ec71_1
gmpy2 pkgs/main/linux-64::gmpy2-2.0.8-py37h10f8cd9_2
graphite2 pkgs/main/linux-64::graphite2-1.3.13-h23475e2_0
greenlet pkgs/main/linux-64::greenlet-0.4.15-py37h7b6447c_0
gst-plugins-base pkgs/main/linux-64::gst-plugins-base-1.14.0-hbbd80ab_1
gstreamer pkgs/main/linux-64::gstreamer-1.14.0-hb453b48_1
h5py pkgs/main/linux-64::h5py-2.9.0-py37h7918eee_0
harfbuzz pkgs/main/linux-64::harfbuzz-1.8.8-hffaf4a1_0
hdf5 pkgs/main/linux-64::hdf5-1.10.4-hb1b8bf9_0
heapdict pkgs/main/noarch::heapdict-1.0.1-py_0
html5lib pkgs/main/linux-64::html5lib-1.0.1-py37_0
icu pkgs/main/linux-64::icu-58.2-h9c2bf20_1
idna pkgs/main/linux-64::idna-2.8-py37_0
imageio pkgs/main/linux-64::imageio-2.6.0-py37_0
imagesize pkgs/main/linux-64::imagesize-1.1.0-py37_0
importlib_metadata pkgs/main/linux-64::importlib_metadata-0.23-py37_0
intel-openmp pkgs/main/linux-64::intel-openmp-2019.4-243
ipykernel pkgs/main/linux-64::ipykernel-5.1.2-py37h39e3cac_0
ipython pkgs/main/linux-64::ipython-7.8.0-py37h39e3cac_0
ipython_genutils pkgs/main/linux-64::ipython_genutils-0.2.0-py37_0
ipywidgets pkgs/main/noarch::ipywidgets-7.5.1-py_0
isort pkgs/main/linux-64::isort-4.3.21-py37_0
itsdangerous pkgs/main/linux-64::itsdangerous-1.1.0-py37_0
jbig pkgs/main/linux-64::jbig-2.1-hdba287a_0
jdcal pkgs/main/noarch::jdcal-1.4.1-py_0
jedi pkgs/main/linux-64::jedi-0.15.1-py37_0
jeepney pkgs/main/noarch::jeepney-0.4.1-py_0
jinja2 pkgs/main/noarch::jinja2-2.10.3-py_0
joblib pkgs/main/linux-64::joblib-0.13.2-py37_0
jpeg pkgs/main/linux-64::jpeg-9b-h024ee3a_2
json5 pkgs/main/noarch::json5-0.8.5-py_0
jsonschema pkgs/main/linux-64::jsonschema-3.0.2-py37_0
jupyter pkgs/main/linux-64::jupyter-1.0.0-py37_7
jupyter_client pkgs/main/linux-64::jupyter_client-5.3.3-py37_1
jupyter_console pkgs/main/linux-64::jupyter_console-6.0.0-py37_0
jupyter_core pkgs/main/noarch::jupyter_core-4.5.0-py_0
jupyterlab pkgs/main/noarch::jupyterlab-1.1.4-pyhf63ae98_0
jupyterlab_server pkgs/main/noarch::jupyterlab_server-1.0.6-py_0
keyring pkgs/main/linux-64::keyring-18.0.0-py37_0
kiwisolver pkgs/main/linux-64::kiwisolver-1.1.0-py37he6710b0_0
krb5 pkgs/main/linux-64::krb5-1.16.1-h173b8e3_7
lazy-object-proxy pkgs/main/linux-64::lazy-object-proxy-1.4.2-py37h7b6447c_0
libarchive pkgs/main/linux-64::libarchive-3.3.3-h5d8350f_5
libcurl pkgs/main/linux-64::libcurl-7.65.3-h20c2e04_0
libedit pkgs/main/linux-64::libedit-3.1.20181209-hc058e9b_0
libffi pkgs/main/linux-64::libffi-3.2.1-hd88cf55_4
libgcc-ng pkgs/main/linux-64::libgcc-ng-9.1.0-hdf63c60_0
libgfortran-ng pkgs/main/linux-64::libgfortran-ng-7.3.0-hdf63c60_0
liblief pkgs/main/linux-64::liblief-0.9.0-h7725739_2
libpng pkgs/main/linux-64::libpng-1.6.37-hbc83047_0
libsodium pkgs/main/linux-64::libsodium-1.0.16-h1bed415_0
libssh2 pkgs/main/linux-64::libssh2-1.8.2-h1ba5d50_0
libstdcxx-ng pkgs/main/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0
libtiff pkgs/main/linux-64::libtiff-4.0.10-h2733197_2
libtool pkgs/main/linux-64::libtool-2.4.6-h7b6447c_5
libuuid pkgs/main/linux-64::libuuid-1.0.3-h1bed415_2
libxcb pkgs/main/linux-64::libxcb-1.13-h1bed415_1
libxml2 pkgs/main/linux-64::libxml2-2.9.9-hea5a465_1
libxslt pkgs/main/linux-64::libxslt-1.1.33-h7d1a2b0_0
llvmlite pkgs/main/linux-64::llvmlite-0.29.0-py37hd408876_0
locket pkgs/main/linux-64::locket-0.2.0-py37_1
lxml pkgs/main/linux-64::lxml-4.4.1-py37hefd8a0e_0
lz4-c pkgs/main/linux-64::lz4-c-1.8.1.2-h14c3975_0
lzo pkgs/main/linux-64::lzo-2.10-h49e0be7_2
markupsafe pkgs/main/linux-64::markupsafe-1.1.1-py37h7b6447c_0
matplotlib pkgs/main/linux-64::matplotlib-3.1.1-py37h5429711_0
mccabe pkgs/main/linux-64::mccabe-0.6.1-py37_1
mistune pkgs/main/linux-64::mistune-0.8.4-py37h7b6447c_0
mkl pkgs/main/linux-64::mkl-2019.4-243
mkl-service pkgs/main/linux-64::mkl-service-2.3.0-py37he904b0f_0
mkl_fft pkgs/main/linux-64::mkl_fft-1.0.14-py37ha843d7b_0
mkl_random pkgs/main/linux-64::mkl_random-1.1.0-py37hd6b4f25_0
mock pkgs/main/linux-64::mock-3.0.5-py37_0
more-itertools pkgs/main/linux-64::more-itertools-7.2.0-py37_0
mpc pkgs/main/linux-64::mpc-1.1.0-h10f8cd9_1
mpfr pkgs/main/linux-64::mpfr-4.0.1-hdf1c602_3
mpmath pkgs/main/linux-64::mpmath-1.1.0-py37_0
msgpack-python pkgs/main/linux-64::msgpack-python-0.6.1-py37hfd86e86_1
multipledispatch pkgs/main/linux-64::multipledispatch-0.6.0-py37_0
nbconvert pkgs/main/linux-64::nbconvert-5.6.0-py37_1
nbformat pkgs/main/linux-64::nbformat-4.4.0-py37_0
ncurses pkgs/main/linux-64::ncurses-6.1-he6710b0_1
networkx pkgs/main/noarch::networkx-2.3-py_0
nltk pkgs/main/linux-64::nltk-3.4.5-py37_0
nose pkgs/main/linux-64::nose-1.3.7-py37_2
notebook pkgs/main/linux-64::notebook-6.0.1-py37_0
numba pkgs/main/linux-64::numba-0.45.1-py37h962f231_0
numexpr pkgs/main/linux-64::numexpr-2.7.0-py37h9e4a6bb_0
numpy pkgs/main/linux-64::numpy-1.17.2-py37haad9e8e_0
numpy-base pkgs/main/linux-64::numpy-base-1.17.2-py37hde5b4d6_0
numpydoc pkgs/main/noarch::numpydoc-0.9.1-py_0
olefile pkgs/main/linux-64::olefile-0.46-py37_0
openpyxl pkgs/main/noarch::openpyxl-3.0.0-py_0
openssl pkgs/main/linux-64::openssl-1.1.1d-h7b6447c_2
packaging pkgs/main/noarch::packaging-19.2-py_0
pandas pkgs/main/linux-64::pandas-0.25.1-py37he6710b0_0
pandoc pkgs/main/linux-64::pandoc-2.2.3.2-0
pandocfilters pkgs/main/linux-64::pandocfilters-1.4.2-py37_1
pango pkgs/main/linux-64::pango-1.42.4-h049681c_0
parso pkgs/main/noarch::parso-0.5.1-py_0
partd pkgs/main/noarch::partd-1.0.0-py_0
patchelf pkgs/main/linux-64::patchelf-0.9-he6710b0_3
path.py pkgs/main/noarch::path.py-12.0.1-py_0
pathlib2 pkgs/main/linux-64::pathlib2-2.3.5-py37_0
patsy pkgs/main/linux-64::patsy-0.5.1-py37_0
pcre pkgs/main/linux-64::pcre-8.43-he6710b0_0
pep8 pkgs/main/linux-64::pep8-1.7.1-py37_0
pexpect pkgs/main/linux-64::pexpect-4.7.0-py37_0
pickleshare pkgs/main/linux-64::pickleshare-0.7.5-py37_0
pillow pkgs/main/linux-64::pillow-6.2.0-py37h34e0f95_0
pip pkgs/main/linux-64::pip-19.2.3-py37_0
pixman pkgs/main/linux-64::pixman-0.38.0-h7b6447c_0
pkginfo pkgs/main/linux-64::pkginfo-1.5.0.1-py37_0
pluggy pkgs/main/linux-64::pluggy-0.13.0-py37_0
ply pkgs/main/linux-64::ply-3.11-py37_0
prometheus_client pkgs/main/noarch::prometheus_client-0.7.1-py_0
prompt_toolkit pkgs/main/noarch::prompt_toolkit-2.0.10-py_0
psutil pkgs/main/linux-64::psutil-5.6.3-py37h7b6447c_0
ptyprocess pkgs/main/linux-64::ptyprocess-0.6.0-py37_0
py pkgs/main/linux-64::py-1.8.0-py37_0
py-lief pkgs/main/linux-64::py-lief-0.9.0-py37h7725739_2
pycodestyle pkgs/main/linux-64::pycodestyle-2.5.0-py37_0
pycosat pkgs/main/linux-64::pycosat-0.6.3-py37h14c3975_0
pycparser pkgs/main/linux-64::pycparser-2.19-py37_0
pycrypto pkgs/main/linux-64::pycrypto-2.6.1-py37h14c3975_9
pycurl pkgs/main/linux-64::pycurl-7.43.0.3-py37h1ba5d50_0
pyflakes pkgs/main/linux-64::pyflakes-2.1.1-py37_0
pygments pkgs/main/noarch::pygments-2.4.2-py_0
pylint pkgs/main/linux-64::pylint-2.4.2-py37_0
pyodbc pkgs/main/linux-64::pyodbc-4.0.27-py37he6710b0_0
pyopenssl pkgs/main/linux-64::pyopenssl-19.0.0-py37_0
pyparsing pkgs/main/noarch::pyparsing-2.4.2-py_0
pyqt pkgs/main/linux-64::pyqt-5.9.2-py37h05f1152_2
pyrsistent pkgs/main/linux-64::pyrsistent-0.15.4-py37h7b6447c_0
pysocks pkgs/main/linux-64::pysocks-1.7.1-py37_0
pytables pkgs/main/linux-64::pytables-3.5.2-py37h71ec239_1
pytest pkgs/main/linux-64::pytest-5.2.1-py37_0
pytest-arraydiff pkgs/main/linux-64::pytest-arraydiff-0.3-py37h39e3cac_0
pytest-astropy pkgs/main/linux-64::pytest-astropy-0.5.0-py37_0
pytest-doctestplus pkgs/main/noarch::pytest-doctestplus-0.4.0-py_0
pytest-openfiles pkgs/main/noarch::pytest-openfiles-0.4.0-py_0
pytest-remotedata pkgs/main/linux-64::pytest-remotedata-0.3.2-py37_0
python pkgs/main/linux-64::python-3.7.4-h265db76_1
python-dateutil pkgs/main/linux-64::python-dateutil-2.8.0-py37_0
python-libarchive~ pkgs/main/linux-64::python-libarchive-c-2.8-py37_13
pytz pkgs/main/noarch::pytz-2019.3-py_0
pywavelets pkgs/main/linux-64::pywavelets-1.0.3-py37hdd07704_1
pyyaml pkgs/main/linux-64::pyyaml-5.1.2-py37h7b6447c_0
pyzmq pkgs/main/linux-64::pyzmq-18.1.0-py37he6710b0_0
qt pkgs/main/linux-64::qt-5.9.7-h5867ecd_1
qtawesome pkgs/main/noarch::qtawesome-0.6.0-py_0
qtconsole pkgs/main/noarch::qtconsole-4.5.5-py_0
qtpy pkgs/main/noarch::qtpy-1.9.0-py_0
readline pkgs/main/linux-64::readline-7.0-h7b6447c_5
requests pkgs/main/linux-64::requests-2.22.0-py37_0
rope pkgs/main/noarch::rope-0.14.0-py_0
ruamel_yaml pkgs/main/linux-64::ruamel_yaml-0.15.46-py37h14c3975_0
scikit-image pkgs/main/linux-64::scikit-image-0.15.0-py37he6710b0_0
scikit-learn pkgs/main/linux-64::scikit-learn-0.21.3-py37hd81dba3_0
scipy pkgs/main/linux-64::scipy-1.3.1-py37h7c811a0_0
seaborn pkgs/main/linux-64::seaborn-0.9.0-py37_0
secretstorage pkgs/main/linux-64::secretstorage-3.1.1-py37_0
send2trash pkgs/main/linux-64::send2trash-1.5.0-py37_0
setuptools pkgs/main/linux-64::setuptools-41.4.0-py37_0
simplegeneric pkgs/main/linux-64::simplegeneric-0.8.1-py37_2
singledispatch pkgs/main/linux-64::singledispatch-3.4.0.3-py37_0
sip pkgs/main/linux-64::sip-4.19.8-py37hf484d3e_0
six pkgs/main/linux-64::six-1.12.0-py37_0
snappy pkgs/main/linux-64::snappy-1.1.7-hbae5bb6_3
snowballstemmer pkgs/main/noarch::snowballstemmer-2.0.0-py_0
sortedcollections pkgs/main/linux-64::sortedcollections-1.1.2-py37_0
sortedcontainers pkgs/main/linux-64::sortedcontainers-2.1.0-py37_0
soupsieve pkgs/main/linux-64::soupsieve-1.9.3-py37_0
sphinx pkgs/main/noarch::sphinx-2.2.0-py_0
sphinxcontrib pkgs/main/linux-64::sphinxcontrib-1.0-py37_1
sphinxcontrib-app~ pkgs/main/noarch::sphinxcontrib-applehelp-1.0.1-py_0
sphinxcontrib-dev~ pkgs/main/noarch::sphinxcontrib-devhelp-1.0.1-py_0
sphinxcontrib-htm~ pkgs/main/noarch::sphinxcontrib-htmlhelp-1.0.2-py_0
sphinxcontrib-jsm~ pkgs/main/noarch::sphinxcontrib-jsmath-1.0.1-py_0
sphinxcontrib-qth~ pkgs/main/noarch::sphinxcontrib-qthelp-1.0.2-py_0
sphinxcontrib-ser~ pkgs/main/noarch::sphinxcontrib-serializinghtml-1.1.3-py_0
sphinxcontrib-web~ pkgs/main/noarch::sphinxcontrib-websupport-1.1.2-py_0
spyder pkgs/main/linux-64::spyder-3.3.6-py37_0
spyder-kernels pkgs/main/linux-64::spyder-kernels-0.5.2-py37_0
sqlalchemy pkgs/main/linux-64::sqlalchemy-1.3.9-py37h7b6447c_0
sqlite pkgs/main/linux-64::sqlite-3.30.0-h7b6447c_0
statsmodels pkgs/main/linux-64::statsmodels-0.10.1-py37hdd07704_0
sympy pkgs/main/linux-64::sympy-1.4-py37_0
tbb pkgs/main/linux-64::tbb-2019.8-hfd86e86_0
tblib pkgs/main/noarch::tblib-1.4.0-py_0
terminado pkgs/main/linux-64::terminado-0.8.2-py37_0
testpath pkgs/main/linux-64::testpath-0.4.2-py37_0
tk pkgs/main/linux-64::tk-8.6.8-hbc83047_0
toolz pkgs/main/noarch::toolz-0.10.0-py_0
tornado pkgs/main/linux-64::tornado-6.0.3-py37h7b6447c_0
tqdm pkgs/main/noarch::tqdm-4.36.1-py_0
traitlets pkgs/main/linux-64::traitlets-4.3.3-py37_0
unicodecsv pkgs/main/linux-64::unicodecsv-0.14.1-py37_0
unixodbc pkgs/main/linux-64::unixodbc-2.3.7-h14c3975_0
urllib3 pkgs/main/linux-64::urllib3-1.24.2-py37_0
wcwidth pkgs/main/linux-64::wcwidth-0.1.7-py37_0
webencodings pkgs/main/linux-64::webencodings-0.5.1-py37_1
werkzeug pkgs/main/noarch::werkzeug-0.16.0-py_0
wheel pkgs/main/linux-64::wheel-0.33.6-py37_0
widgetsnbextension pkgs/main/linux-64::widgetsnbextension-3.5.1-py37_0
wrapt pkgs/main/linux-64::wrapt-1.11.2-py37h7b6447c_0
wurlitzer pkgs/main/linux-64::wurlitzer-1.0.3-py37_0
xlrd pkgs/main/linux-64::xlrd-1.2.0-py37_0
xlsxwriter pkgs/main/noarch::xlsxwriter-1.2.1-py_0
xlwt pkgs/main/linux-64::xlwt-1.3.0-py37_0
xz pkgs/main/linux-64::xz-5.2.4-h14c3975_4
yaml pkgs/main/linux-64::yaml-0.1.7-had09818_2
zeromq pkgs/main/linux-64::zeromq-4.3.1-he6710b0_3
zict pkgs/main/noarch::zict-1.0.0-py_0
zipp pkgs/main/noarch::zipp-0.6.0-py_0
zlib pkgs/main/linux-64::zlib-1.2.11-h7b6447c_3
zstd pkgs/main/linux-64::zstd-1.3.7-h0b5b093_0
Proceed ([y]/n)?
機械学習用の環境にインストールされるパッケージが通知されます。yを入力します。
y
コマンド実行結果
Proceed ([y]/n)? y
Downloading and Extracting Packages
dask-core-2.5.2 | 579 KB | ##################################### | 100%
beautifulsoup4-4.8.0 | 152 KB | ##################################### | 100%
parso-0.5.1 | 68 KB | ##################################### | 100%
python-3.7.4 | 32.1 MB | ##################################### | 100%
wheel-0.33.6 | 40 KB | ##################################### | 100%
xlsxwriter-1.2.1 | 106 KB | ##################################### | 100%
qtconsole-4.5.5 | 94 KB | ##################################### | 100%
certifi-2019.9.11 | 154 KB | ##################################### | 100%
pytest-5.2.1 | 364 KB | ##################################### | 100%
jedi-0.15.1 | 704 KB | ##################################### | 100%
soupsieve-1.9.3 | 60 KB | ##################################### | 100%
jinja2-2.10.3 | 95 KB | ##################################### | 100%
dask-2.5.2 | 12 KB | ##################################### | 100%
astropy-3.2.2 | 7.1 MB | ##################################### | 100%
scikit-learn-0.21.3 | 4.9 MB | ##################################### | 100%
mkl_fft-1.0.14 | 155 KB | ##################################### | 100%
bokeh-1.3.4 | 3.6 MB | ##################################### | 100%
spyder-kernels-0.5.2 | 69 KB | ##################################### | 100%
zipp-0.6.0 | 9 KB | ##################################### | 100%
pyodbc-4.0.27 | 68 KB | ##################################### | 100%
cytoolz-0.10.0 | 374 KB | ##################################### | 100%
pip-19.2.3 | 1.9 MB | ##################################### | 100%
pytest-remotedata-0. | 15 KB | ##################################### | 100%
openssl-1.1.1d | 2.5 MB | ##################################### | 100%
fsspec-0.5.2 | 46 KB | ##################################### | 100%
scipy-1.3.1 | 14.0 MB | ##################################### | 100%
ca-certificates-2019 | 132 KB | ##################################### | 100%
_anaconda_depends-20 | 6 KB | ##################################### | 100%
jsonschema-3.0.2 | 92 KB | ##################################### | 100%
importlib_metadata-0 | 43 KB | ##################################### | 100%
numba-0.45.1 | 2.8 MB | ##################################### | 100%
snowballstemmer-2.0. | 58 KB | ##################################### | 100%
statsmodels-0.10.1 | 7.4 MB | ##################################### | 100%
curl-7.65.3 | 130 KB | ##################################### | 100%
matplotlib-3.1.1 | 5.0 MB | ##################################### | 100%
pyrsistent-0.15.4 | 92 KB | ##################################### | 100%
openpyxl-3.0.0 | 157 KB | ##################################### | 100%
jupyter_client-5.3.3 | 137 KB | ##################################### | 100%
libcurl-7.65.3 | 431 KB | ##################################### | 100%
pytest-openfiles-0.4 | 10 KB | ##################################### | 100%
tqdm-4.36.1 | 50 KB | ##################################### | 100%
wurlitzer-1.0.3 | 14 KB | ##################################### | 100%
numexpr-2.7.0 | 183 KB | ##################################### | 100%
widgetsnbextension-3 | 862 KB | ##################################### | 100%
lazy-object-proxy-1. | 29 KB | ##################################### | 100%
chardet-3.0.4 | 174 KB | ##################################### | 100%
pyyaml-5.1.2 | 179 KB | ##################################### | 100%
attrs-19.2.0 | 39 KB | ##################################### | 100%
pyparsing-2.4.2 | 61 KB | ##################################### | 100%
distributed-2.5.2 | 396 KB | ##################################### | 100%
nbconvert-5.6.0 | 491 KB | ##################################### | 100%
cython-0.29.13 | 2.0 MB | ##################################### | 100%
jupyterlab_server-1. | 26 KB | ##################################### | 100%
sqlalchemy-1.3.9 | 1.8 MB | ##################################### | 100%
anaconda-custom | 3 KB | ##################################### | 100%
jupyterlab-1.1.4 | 4.4 MB | ##################################### | 100%
docutils-0.15.2 | 660 KB | ##################################### | 100%
json5-0.8.5 | 25 KB | ##################################### | 100%
pathlib2-2.3.5 | 37 KB | ##################################### | 100%
traitlets-4.3.3 | 138 KB | ##################################### | 100%
pytz-2019.3 | 231 KB | ##################################### | 100%
python-libarchive-c- | 24 KB | ##################################### | 100%
pyzmq-18.1.0 | 455 KB | ##################################### | 100%
ipykernel-5.1.2 | 170 KB | ##################################### | 100%
ipywidgets-7.5.1 | 107 KB | ##################################### | 100%
astroid-2.3.1 | 288 KB | ##################################### | 100%
cloudpickle-1.2.2 | 29 KB | ##################################### | 100%
pysocks-1.7.1 | 30 KB | ##################################### | 100%
pluggy-0.13.0 | 31 KB | ##################################### | 100%
prompt_toolkit-2.0.1 | 227 KB | ##################################### | 100%
spyder-3.3.6 | 2.2 MB | ##################################### | 100%
notebook-6.0.1 | 6.0 MB | ##################################### | 100%
contextlib2-0.6.0 | 16 KB | ##################################### | 100%
numpy-1.17.2 | 4 KB | ##################################### | 100%
numpy-base-1.17.2 | 4.2 MB | ##################################### | 100%
jeepney-0.4.1 | 21 KB | ##################################### | 100%
pillow-6.2.0 | 643 KB | ##################################### | 100%
werkzeug-0.16.0 | 255 KB | ##################################### | 100%
more-itertools-7.2.0 | 100 KB | ##################################### | 100%
lxml-4.4.1 | 1.4 MB | ##################################### | 100%
qtpy-1.9.0 | 39 KB | ##################################### | 100%
bzip2-1.0.8 | 78 KB | ##################################### | 100%
sphinx-2.2.0 | 1.5 MB | ##################################### | 100%
heapdict-1.0.1 | 9 KB | ##################################### | 100%
pandas-0.25.1 | 8.8 MB | ##################################### | 100%
sqlite-3.30.0 | 1.9 MB | ##################################### | 100%
nltk-3.4.5 | 1.7 MB | ##################################### | 100%
bitarray-1.0.1 | 60 KB | ##################################### | 100%
imageio-2.6.0 | 3.4 MB | ##################################### | 100%
asn1crypto-1.0.1 | 161 KB | ##################################### | 100%
mkl_random-1.1.0 | 321 KB | ##################################### | 100%
tbb-2019.8 | 1.1 MB | ##################################### | 100%
pylint-2.4.2 | 429 KB | ##################################### | 100%
packaging-19.2 | 30 KB | ##################################### | 100%
qtawesome-0.6.0 | 671 KB | ##################################### | 100%
mkl-service-2.3.0 | 218 KB | ##################################### | 100%
setuptools-41.4.0 | 651 KB | ##################################### | 100%
pytest-doctestplus-0 | 18 KB | ##################################### | 100%
ipython-7.8.0 | 985 KB | ##################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate ml_env
#
# To deactivate an active environment, use
#
# $ conda deactivate
[anaconda@CENTOS7 ~]$
7. 機械学習用環境（ml_env）をアクティブにする
機械学習用環境（ml_env）をアクティブにします。
conda activate ml_env
（非アクティブにする場合、conda deactivateを実行します。）
コマンド実行結果
[anaconda@CENTOS7 ~]$ conda activate ml_env
(ml_env) [anaconda@CENTOS7 ~]$
機械学習用環境（ml_env）のPythonのバージョンを確認します。
python --version
コマンド実行結果
(ml_env) [anaconda@CENTOS7 ~]$ python --version
Python 3.7.4
(ml_env) [anaconda@CENTOS7 ~]$
8. Pythonの実行確認
/home/anaconda配下に以下のPythonコードを作成します。
/home/anaconda/test01.py
# -*- coding: utf-8 -*-
"""
Created on Sun Oct 13 18:27:38 2019
@author: yasushi-jp
"""
teams = ["勇者", "戦士", "魔法使い", "僧侶"]
for i in teams:
print(i)
作成したPythonコード（test01.py）を実行します。
python test01.py
コマンド実行結果
(ml_env) [anaconda@CENTOS7 ~]$ python test01.py
勇者
戦士
魔法使い
僧侶
(ml_env) [anaconda@CENTOS7 ~]$
Pythonを実行できることが確認できました。
最後に機械学習用環境（ml_env）を非アクティブにします。
conda deactivate
コマンド実行結果
(ml_env) [anaconda@CENTOS7 ~]$ conda deactivate
[anaconda@CENTOS7 ~]$
後書き
第一回ではAnaconda3をインストールし、base環境とは別に機械学習用環境（ml_env）を作成し、Pythonコードが実行できることを確認しました。
次回以降は機械学習用環境（ml_env）にscikit-learn、Tensorflowやkeras等の機械学習ライブラリのインストール、Jupyter Notebookの使用方法について紹介したいと思います。
リンク
【第二回】CentOSにPythonの機械学習開発環境を構築する（Jupyter Notebook編）
【第三回（最終回）】CentOSにPythonの機械学習開発環境を構築する（Tensorflow + Kerasインストール編）
【番外編】CentOSにPythonの機械学習開発環境を構築する（systemdでのJupyter Notebookの自動起動編）