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30 mins intro to Q/KDB+ via Python (Part 2)

Last updated at Posted at 2019-06-17

Prefix

The background of this blog is detailed here in Part 1.

In part 2, we are going to cover the topics below through some sample codes in a Jupyter Notebook:

  • Data types, like date, boolean and their arithmetic operations
  • Data structures, like list, table and their manipulation, Q-SQL
  • Lambda, vector processing

Let's get started

Jupyter Notebook in Github

What have we achieved so far?

We learnt how to generate some data types, put them into a list, which are then accumulated into a table structure. Through the above exercise, we see how vector processing simplify and speed up the code.

What's next

Next, to practice the concepts learnt, we are going to build a linear regression model.

Disclaimer

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