DataCamp Python series

I already worked through DataCamp in R. On to Python!

R for Data Science

This book is one of my favorite books in the field. Base R is lovely, powerful, and concise, but not very readable and requires tons of memorization because every function is idiosyncratically different from the others. The Tidyverse is brilliant for its clarity and ease of use, if somewhat cludgy in terms of speed and names of things. I wouldn’t have half my enthusiasm for data science if I hadn’t stumbled on the Tidyverse and this book. I’ve got most of the book memorized, to be honest, I use it that much, but this is on the syllabus so I get through those chapters that I haven’t really needed to tackle yet.

Google Python Class

Worth a try

Hello World · GitHub Guides

GitHub has their very own guide. Why not give it a whirl?

Happy R with Git by Jenny Bryan

The quintessential guide for us R-nerds. I’ve skimmed it, but need to really work through it and figure out git/GitHub once and for all!

SQL Tutorial for Data Analysis

This came highly recommended by several folks

SQL Tutorial

Stumbled on this and it looked good

DataCamp Git Tutorial

A Non-Programmer’s Introduction to Git

Learn Python

Simple website with some data science-focused tutorials

Data Science from Scratch by Joel Grus

This seems to have it all - something like R4DS but for Python.

Learn Bash the Hard Way

I don’t really have an interest in Bash, but it does seem handy to know.

Think Python: How to Think Like a Computer Scientist by Allen B. Downey

It’s free, it’s recommended by several folks, and it looks like it is pretty thorough and has good examples. It might be repetetive from earlier activities, but I’ll just zoom through (or not).

• Variables, expressions and statements
• Functions
• Interface design
• Conditionals and recursion
• Fruitful functions
• Iteration
• Strings
• Text mining
• Lists
• Dictionaries
• Tuples
• Data structures
• Files
• Classes and objects
• Classes and functions
• Classes and methods
• Inheritance
• “The Goodies”
• Debugging
• Algorithms

Optional: Learn Python the Hard Way

I’ve heard a lot of good things, but at $30, it’s the most expensive item on this list. This is in the wings if I’m still looking for more.

Bad Python

Good Python