000			02771nam a2200301Ia 4500
001			3393
008			230305s2019 xx 000 0 und d
020			_a9781593279288
040			_ctbs
041			_aeng
043			_aen_UK
245		0	_aPython crash course
250			_a2nd ed.
260			_aSan Francisco, CA _bNo Starch Press, _c2019
300			_axxxvi, 506 pages illustrations, maps 24 cm
500			_aa hands-on, project-based introduction to programming
505			_aPART 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.
520			_aA 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.
590			_bIncludes index.
630			_aQA MATHEMATICS _92046
650			_aPython (Computer program language) _913080
650			_aObject-oriented programming (Computer science) _913969
700			_aMatthes, Eric _eAutor _913970
902			_a1546
905			_am
942			_a1 _2ddc
999			_c3228 _d3228