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Think Python: How to Think Like a Computer Scientist

Think Python: How to Think Like a Computer Scientist
How to Think Like a Computer Scientist by Allen B. Downey This is the first edition of Think Python, which uses Python 2. If you are using Python 3, you might want to use the second edition, which is here. Buy this book at Download Think Python in PDF. Read Think Python in HTML. Example programs and solutions to some problems are here (links to specific examples are in the book). Description Think Python is an introduction to Python programming for beginners. Some examples and exercises are based on Swampy, a Python package written by the author to demonstrate aspects of software design, and to give readers a chance to experiment with simple graphics and animation. Think Python is a Free Book. If you have comments, corrections or suggestions, please send me email at feedback{at}thinkpython{dot}com. Other Free Books by Allen Downey are available from Green Tea Press. Download Precompiled copies of the book are available in PDF. Earlier Versions Translations and adaptations

Invent Your Own Computer Games with Python - Learn how to program with a free ebook programming tutorial Chapter 1 Read online: Chapter 1 - Installing Python Videos: Chapter 2 Read online: Chapter 2 - The Interactive Shell The Python Tutorial — Python v3.0.1 documentation Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python Web site, and may be freely distributed. The same site also contains distributions of and pointers to many free third party Python modules, programs and tools, and additional documentation. The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C).

The 6 Grand Illusions That Keep Us Enslaved to the Matrix By: Sigmund Fraud, Waking Times “In prison, illusions can offer comfort.” – Nelson Mandela For a magician to fool his audience his deceit must go unseen, and to this end he crafts an illusion to avert attention from reality. Python The Case for Test-Driven Development By Meghan Blanchette March 28, 2014 Harry Percival, author of Test-Driven Web Development with Python, discusses how he got into TDD, why you should too, and shares some tips. In the podcast above, listen to Harry talk candidly about the types of tests that make sense, … Interface Languages and Feature Discovery Non-Programmer's Tutorial for Python 3/Print version All example Python source code in this tutorial is granted to the public domain. Therefore you may modify it and relicense it under any license you please. Since you are expected to learn programming, the Creative Commons Attribution-ShareAlike license would require you to keep all programs that are derived from the source code in this tutorial under that license. Since the Python source code is granted to the public domain, that requirement is waived. This tutorial is more or less a conversion of Non-Programmer's Tutorial for Python 2.6.

Cynefin, testing & auditing Over the last few weeks following my CAST 2014 talk in New York, while the Stop 29119 campaign has been raging, I have been thinking more about some of the underlying issues. One of these has been the idea of “best practice”, which led me back to the Cynefin Framework. If you don’t know about Cynefin then I strongly recommend that you learn about it and reflect on its implications. The Wikipedia article is a good start, not least because Dave Snowden, Cynefin’s creator, keeps an eye on it.

Making Games with Python and Pygame Book Description This is a programming book that covers the Pygame game library for the Python programming language. Each chapter gives you the complete source code for a new game and teaches the programming concepts from these examples. The book is available under a Creative Commons license and can be downloaded in full for free from This book was written to be understandable by kids as young as 10 to 12 years old, although it is great for anyone of any age who has some familiarity with Python. About the Authors Albert Sweigart (but you can call him Al), is a software developer in San Francisco, California who enjoys bicycling, volunteering, haunting coffee shops, and making useful software. He is originally from Houston, Texas.

Good logging practice in Python In reality, logging is important. When you transfer money, there are transfer records. When an airplane is flying, black box (flight data recorder) is recording everything. If something goes wrong, people can read the log and has a chance to figure out what happened. Likewise, logging is important for system developing, debugging and running. When a program crashes, if there is no logging record, you have little chance to understand what happened. Open Classes on Piazza Software Defined Networking Instructor: Nick Feamster, Georgia Tech Start date: May 26th, 2014 Duration: 8 weeks Free Learn more Join Class Linear Circuits Instructor: Bonnie H. Ferri, Georgia Tech Start date: January 6th, 2014 Duration: 9 weeks Free Learn more Join Class Computational Investing, Part I Instructor: Tucker Balch, Georgia Tech Start date: February 22, 2013 Duration: 9 weeks Free Learn more Join Class Game Theory II: Advanced Applications Matthew O. Jackson, Kevin Leyton-Brown, Yoav Shoham Start date: May 27th, 2013 Duration: 7 weeks Free Learn more Join Class Introductory Physics I with Laboratory Instructor: Michael F.

Where The Rants Go By Zed A. Shaw I've had it. Dive Into Python is one of the worst books for learning Python and it must die. Getting started with Python: Tips, Tools and Resources - Lesson in Programming 1. MIT 6.00x: Introduction to Computer Science and Programming 6.00x is an introduction to using computation to solve real problems. The course is aimed at students with little or no prior programming experience who have a desire to understand computational approaches to problem solving. This is an amazing course! This will give you a better overview and depth than any other resource available.

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