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A quick introduction of DataFrame in Julia for users from Python

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DataFrame in Julia

Background

Back to 2013, I learned Python for the first time. Pandas was one of the most attractive libraries (also one of the most complicate libraries) that I encontered. I used to spend a lot of time reading the whole documentation but got lost in too many specific details. And one day I found a repo named pandas-cookbook, which was very intuitive and friendly to beginners in Python. I really apperated the author's work and then translated it into Chinese here.

Recently, my interest has shifted to Julialang (happened to found that the author of pandas-cookbook also named Julia). The most attractive feature of Julia is the lisp-like macros and the high performance in computation. Here I rewrite most of the examples from pandas-cookbook into Julia. This repo is a homage to Julia Evans. Hope it is helpful to those who are new to Julia.

Table of Contents

  1. A quick tour of Jupyter Notebook
  2. Read-Select-Modify
  3. Split-Apply-Combine
  4. Query Query Query

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