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 Amazon.com 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
Non-Programmer's Tutorial for Python 3
Authors Contributors to this book Front matter Initial remarks Intro Installing and using Python – where to get help Hello, World The famous first program – screen output – variables – numbers and calculations Who Goes There? Interactive input – strings Count to 10 while loops Decisions if statements Debugging Finding out what goes wrong Defining Functions Structuring programs with the use of functions Advanced Functions Example (Almost) mind-blowing example of how programmers can think Lists Variables containing more than one value For Loops A second kind of loop Boolean Expressions Computer logic – True and False – and and or – not Dictionaries Variables containing key/value pairs Using Modules Extensions to the standard set of functionality More on Lists Using elements or parts of lists Revenge of the Strings More advanced text manipulations File IO Reading from files and writing to files Dealing with the imperfect How to handle errors Recursion Recursive Functions Intro to Object Oriented Programming in Python 3 The End
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). This tutorial introduces the reader informally to the basic concepts and features of the Python language and system.
How Can I Protect My Computers and Data When Someone Else Is Using My Network?
Dear Lifehacker, After reading how easy it is for someone else to get onto my Wi-Fi network, and, similarly, thinking about how often I let my friends connect to my wireless network, I want to lock down the rest of my network so people connected to it can't go snooping around my computers—or at least secure my most super secret files and folders. What's the best way to go about this? P Thanks, Insecure About Network SecurityP Dear Insecure, We hear you. Set Permissions on Files or FoldersP You can password-protect important files or folders on your computer by editing the permissions settings, which control who can view or edit those items. In Windows, right-click the folder, go to Properties, and open the Security tab. Also don't forget to set up password protection on your network attached storage or any drives shared over the network on your computers.P Encrypt Your Drive or FoldersP The built-in Disk Utility in Mac also is a great tool for protecting folders. Hide your FilesP P.S.
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. 2. This course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. 3. This course introduces the fundamental building blocks of programming and teaches you how to write fun and useful programs using the Python language.
Second Try: Sentiment Analysis in Python : Andy Bromberg
Introduction After my first experiments with using R for sentiment analysis, I started talking with a friend here at school about my work. Jackson and I decided that we’d like to give it a better shot and really try to get some meaningful results. After a lot of research, we decided to shift languages to Python (even though we both know R). We made this shift because Python has a number of very useful libraries for text processing and sentiment analysis, plus it’s easy to code in. We also met with Christopher Potts, a professor of linguistics here at Stanford. If you’d like to jump straight to seeing the full code, you can head over to the GitHub repository. The Setup One of the resources we got a lot of mileage out of was StreamHacker, especially the articles on basic techniques, precision and recall. and eliminating features. Another great discovery was the Natural Language ToolKit (NLTK). During our first attempt, we basically just tried to convert my program in R into Python. Addendum
Python Course: Tutorial, Reference and Advanced Topics
Online Python Tutor - Learn programming by visualizing code execution
Dive Into Python
Python Resources | edX Wiki
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CPython Compilers
