TY  - BOOK
AU  - Matthes, Eric
TI  - Python crash course
SN  - 9781593279288
PY  - 2019///
CY  - San Francisco, CA 
PB  - No Starch Press
KW  - QA MATHEMATICS
KW  - Python (Computer program language)
KW  - Object-oriented programming (Computer science)
N1  - a hands-on, project-based introduction to programming; PART I: Basics - 
Chapter 1: Getting Started - 
Chapter 2: Variables and Simple Data Types - 
Chapter 3: Introducing Lists - 
Chapter 4: Working with Lists - 
Chapter 5: if Statements - 
Chapter 6: Dictionaries - 
Chapter 7: User Input and while Loops - 
Chapter 8: Functions - 
Chapter 9: Classes - 
Chapter 10: Files and Exceptions - 
Chapter 11: Testing Your Code - 

PART II: Projects - 

Project 1: Alien Invasion - 
Chapter 12: A Ship that Fires Bullets - 
Chapter 13: Aliens! - 
Chapter 14: Scoring - 

Project 2: Data Visualization - 
Chapter 15: Generating Data - 
Chapter 16: Downloading Data - 
Chapter 17: Working with APIs - 

Project 3: Web Applications - 
Chapter 18: Getting Started with Django - 
Chapter 19: User Accounts - 
Chapter 20: Styling and Deploying an App - 

Appendix A: Installing Python - 
Appendix B: Text Editors - 
Appendix C: Getting Help - 
Appendix D: Using Git for Version Control.


N2  - A fast-paced, no-nonsense, updated guide to programming in Python.

If you’ve been thinking about learning how to code or picking up Python, this internationally bestselling guide to the most popular programming language is your quickest, easiest way to get started and go! Even if you have no experience whatsoever, Python Crash Course, 2nd Edition, will have you writing programs, solving problems, building computer games, and creating data visualizations in no time.

You’ll begin with basic concepts like variables, lists, classes, and loops—with the help of fun skill-strengthening exercises for every topic—then move on to making interactive programs and best practices for testing your code. Later chapters put your new knowledge into play with three cool projects: a 2D Space Invaders-style arcade game, a set of responsive data visualizations you’ll build with Python’s handy libraries (Pygame, Matplotlib, Plotly, Django), and a customized web app you can deploy online
ER  -