Python, so easy, wow.

This repo houses a collection of cheat-sheet/tutorials for teaching the basic concepts Python quickly and providing a reference when you need a refresher.

Following my efforts on Dive into Deep Learning, I hope the notebooks in this repository will make you dangerous in Python as quickly as possible, while boring you as little as possible. Sometimes that will mean making tradeoffs along the Pareto-optimal front between completeness, efficiency, and engagingness.

Throughout these tutorials we are going to use Python3. That's mainly because given the choice, it's better to invest in skills that will be useful in the foreseeable future.

These materials are prepared (hopefully!) with some help from the open source community, as course materials for the Introduction to Python and R course as part of the MSBA program at Carnegie Mellon University's Tepper School of Business.

Author: Zachary C. Lipton (& friends) Contact: @zacharylipton

Table of contents

Introduction

• Basic Jupyter
• Literals
• Variables
• Strings
• Numbers (and Arithmetic)
• Booleans (and Logic)
• Practice Questions

Collections

• Lists
• Dictionaries
• Practice Questions

Control Flow

• Conditionals (if-then-else)
• Looping
• List Comprehensions
• Practice Questions

Functions

• Introduction to Functions
• Practice Questions

Classes

• Introduction to Classes / Object Oriented Programming
• Practice Questions

Numerical Python with NumPy and Matplotlib

• The NumPy Library
• Plotting with Matplotlib
• Practice Questions

IO

• Writing to Files
• Reading from Files
• Saving and Loading Python Objects
• Scraping the Web
• Practice Questions

Python projects

• ...