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Qiita記事まとめ2021 :Qiita(99)

Last updated at Posted at 2021-03-22
2021 2020 2019
2021 2020 2019 Japanese title English Title goods stock views goods views vs/gs good view v/g
1 1 プログラマが知っているとよい 色使い(安全色)https://qiita.com/kaizen_nagoya/items/cb7eb3199b0b98904a35 Safety colour, everyone should know the use of colour. 1479 1482 75276 1467 72825 49.6 1236 49852 40.3
2 2 65歳からのプログラミング入門 https://qiita.com/kaizen_nagoya/items/1561f910c275b22d7c9f Getting start programming at 65 years old. 672 521 32773 665 31356 47.1 460 16875 36.6
3 4 プログラムは音楽だ https://qiita.com/kaizen_nagoya/items/33c9f33581e6886f8ad8 A program is a music. 346 334 31352 341 29978 87.9 280 19991 71.3
4 3 Qiitaで組立語・機械語・CPU<アセンブラへの道> https://qiita.com/kaizen_nagoya/items/46f2333c2647b0e692b2 Road to Assembler, machine language or CPU. 307 327 27216 303 25455 84 272 14117 51.9
5 仮説・検証(169)「平成のうちにやめたかった『ITの7つの無意味な習慣』」に付け加えたかったこと。https://qiita.com/kaizen_nagoya/items/e6f9c2e0afbf8ab4181c 274 222 41158 273 40751 149.2
6 プログラマで飛び抜けた人が少ないという仮説 https://qiita.com/kaizen_nagoya/items/f0d22e20f6d2c58f2c1b Hypothesis that there are few innovative programmers 258 224 18531 257 18210 70.8 178 10132 56.9
7 仮説・検証(165)40年でソフトウェア開発の景色はどのぐらい変わったのか? https://qiita.com/kaizen_nagoya/items/54c17cf751894eef56f8

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| | 248 | 182 | 14391 | 248 | 14081 | 56.7 | | | |
| | 8 | 6 | 製造業における機械学習 https://qiita.com/kaizen_nagoya/items/fbe846de16f74bea1d6f | machine learning on the manufacturing industry | 186 | 214 | 26842 | 176 | 24981 | 141.9 | 127 | 9786 | 77 |
| | 9 | 5 | 「ゼロから作るDeep Learning 2自然言語処理編」読書会に参加する前に読んで置くとよい資料とプログラム「ゼロから作るDeep Learning 2自然言語処理編」読書会に参加する前に読んで置くとよい資料とプログラムhttps://qiita.com/kaizen_nagoya/items/537b1810265bbbc70e73 | Beffore joinng a reading club on "Start from scratch, Deep Learning 2, natural language version", try these exercise materials | 185 | 184 | 27712 | 164 | 26823 | 163.5 | 131 | 17391 | 132.7 |
| | 10 | | 人生で影響を受けた本100冊 https://qiita.com/kaizen_nagoya/items/16af53acbb147a94172e | | 141 | 149 | 18663 | 137 | 16085 | 117.4 | | | |
| | 11 | 10 | Windows(MS)にPython(Anaconda)を導入する(5つの罠)https://qiita.com/kaizen_nagoya/items/7bfd7ecdc4e8edcbd679 | 5 traps, introducing Python (Anaconda) to M.S. Windows. | 126 | 163 | 154172 | 121 | 147054 | 1215.3 | 41 | 41658 | 1016 |
| | 12 | 8 | 量子コンピュータプログラムへの道https://qiita.com/kaizen_nagoya/items/37c90488c87bbe9f2d71 | Road to quantum computing | 130 | 127 | 17096 | 120 | 15653 | 130.4 | 54 | 4978 | 92.1 |
| | 13 | | 仮説・検証(168)プログラマの「プログラムが書ける」思い込みの激しさは強みであって弱点ではない3つの理由 https://qiita.com/kaizen_nagoya/items/bc5dd86e414de402ec29 | | 79 | 61 | 5176 | 79 | 6828 | 86.4 | | | |
| | 14 | | プログラマとして、プログラムを書く時、文章を書く時、言い訳をする時に心がけていること https://qiita.com/kaizen_nagoya/items/7e5700db01727cb516fc | What to keep in mind when writing programs, writing letters and excuses as a programmer. | | | | 74 | 4985 | 67.3 | 62 | 3430 | 55.3 |
| | 15 | 7 | C言語/C++に対する誤解、曲解、無理解、爽快。https://qiita.com/kaizen_nagoya/items/3f3992c9722c1cee2e3a | Misunderstanding, twist, unappreciation or fresh on C and/or C++ Languages | | | | 59 | 8709 | 147.6 | 52 | 5659 | 108.8 |
| | 16 | 31 | 言語処理100本ノックをdockerで。 https://qiita.com/kaizen_nagoya/items/7e7eb7c543e0c18438c4 | language processing 100 fungo on docker | | | | 56 | 7831 | 139.8 | 27 | 3079 | 114 |
| | 17 | | 英語(3) 仮説・検証(88)用語の衝突(用語・用例募集中) https://qiita.com/kaizen_nagoya/items/6a8eb7ffaa45eeb16624 | | | | | 52 | 6236 | 119.9 | | | |
| | 18 | 9 | dockerで機械学習(3) with anaconda(3)「直感Deep Learning」Antonio Gulli、Sujit Pal著 https://qiita.com/kaizen_nagoya/items/483ae708c71c88419c32 | machine learning on docker with anaconda(3) "Deep Learning with Keras" by Antonio Gulli and Sujit Pal | | | | 39 | 30292 | 776.7 | 34 | 11714 | 344.5 |
| | 19 | 13 | RTL設計スタイルガイド Verilog HDL編(System Verilog対応版)https://qiita.com/kaizen_nagoya/items/4c02f1575db1f28310a7 | STARC RTL Design Style Guide Verilog HDL(System Verikog) | | | | 39 | 19603 | 502.6 | 17 | 4929 | 289.9 |
| | 20 | | Qiita(28)画像の大きさ調整 https://qiita.com/kaizen_nagoya/items/cef6ae1fcbdbec9e7be2 | | | | | 39 | 9039 | 231.7 | | | |
| | 21 | 23 | なぜdockerで機械学習するか 書籍・ソース一覧作成中 (目標100) https://qiita.com/kaizen_nagoya/items/ddd12477544bf5ba85e2 | merit of machine learning on docker, target 100 list of books and sources, constructing now. | | | | 38 | 8147 | 214.3 | 14 | 2351 | 167.9 |
| | 22 | 14 | プログラマの「日報、週報、月報、年報」考 https://qiita.com/kaizen_nagoya/items/97ad8ac9217c12c3bb69 | thinking of "daily, weekly, monthly and yearly report by programmer " | | | | 35 | 5669 | 161.9 | 17 | 1657 | 97.4 |
| | 23 | 32 | プログラマが知っているとよい英単語の語源 https://qiita.com/kaizen_nagoya/items/9de6d47c47e2c211222b | English word origin for programmer | | | | 35 | 3309 | 94.5 | 16 | 566 | 35.3 |
| | 24 | 11 | プログラマが苦手な「人との口頭のやりとり」面談技術(interview technique)7つの要点 https://qiita.com/kaizen_nagoya/items/f322df6978853c708c99 | Programmers are not good at talking with others. 7 points of interview technique. | | | | 35 | 2801 | 80 | 22 | 999 | 45.4 |
| | 25 | 26 | Macbook ProまたはMac miniでNVIDIAのGPUが使えるようになるまで 第一日 https://qiita.com/kaizen_nagoya/items/6b3e06645f1cd7604d56 | How tu use Nvidia GPU on Macbook Pro or Mac mini, Day 1. https://qiita.com/kaizen_nagoya/items/6b3e06645f1cd7604d56 | | | | 30 | 29264 | 975.4 | 9 | 10702 | 1189.1 |
| | 26 | 18 | 「coq入門」の入門https://qiita.com/kaizen_nagoya/items/13566f0b2083ea8d4998 | Getting start with "Getting start with coq" | | | | 29 | 5975 | 206 | 13 | 2309 | 177.6 |
| | 27 | 17 | VZエディタ移植に当たって実施したことと成果https://qiita.com/kaizen_nagoya/items/5551be98dcbed8f41949 | Porting the VZ editor(assembler made) to N5200. | | | | 27 | 7828 | 289.9 | 13 | 2868 | 220.6 |
| | 28 | 19 | 情報処理技術者試験 ネットワークスペシャリストに合格情報処理技術者試験 ネットワークスペシャリストに合格https://qiita.com/kaizen_nagoya/items/407857392ca5c5677ee4 | Pass the network specialist(ITEE: The Information Technology Engineers Examination). | | | | 23 | 4665 | 202.8 | 12 | 2132 | 177.6 |
| | 29 | 12 | 名古屋のIoTは名古屋のOSで, TOPPERS まとめhttps://qiita.com/kaizen_nagoya/items/9026c049cb0309b9d451 | Iot at Nagoya wearing kernels at Nagoya, see TOPPERS summary | | | | 20 | 5974 | 298.7 | 18 | 3885 | 215.8 |
| | 30 | | 遺伝子解析、遺伝子機能解析 https://qiita.com/kaizen_nagoya/items/150646f72c55a36f8c39 | | | | | 20 | 4201 | 210 | | | |

<この記事は個人の過去の経験に基づく個人の感想です。現在所属する組織、業務とは関係がありません。>

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