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Text Processing in Python (a book)

Text Processing in Python (a book)
A couple of you make donations each month (out of about a thousand of you reading the text each week). Tragedy of the commons and all that... but if some more of you would donate a few bucks, that would be great support of the author. In a community spirit (and with permission of my publisher), I am making my book available to the Python community. Minor corrections can be made to later printings, and at the least errata noted on this website. Email me at <> . A few caveats: (1) This stuff is copyrighted by AW (except the code samples which are released to the public domain).

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The Python “with” Statement by Example Python’s with statement was first introduced five years ago, in Python 2.5. It’s handy when you have two related operations which you’d like to execute as a pair, with a block of code in between. The classic example is opening a file, manipulating the file, then closing it: Test-Driven Web Development with Python Test-Driven Development with Python Test-Driven Development with Python Harry Percival Python beginner's mistakes Every Python programmer had to learn the language at one time, and started out as a beginner. Beginners make mistakes. This article highlights a few common mistakes, including some I made myself. Beginner's mistakes are not Python's fault, nor the beginner's. They're merely a result of misunderstanding the language.

PyDSTool PyDSTool is a sophisticated & integrated simulation and analysis environment for dynamical systems models of physical systems (ODEs, DAEs, maps, and hybrid systems). PyDSTool is platform independent, written primarily in Python with some underlying C and Fortran legacy code for fast solving. It makes extensive use of the numpy and scipy libraries. PyDSTool supports symbolic math, optimization, phase plane analysis, continuation and bifurcation analysis, data analysis, and other tools for modeling -- particularly for biological applications. The project is fully open source with a BSD license, and welcomes contributions from the community.

IntroductoryBooks The books on this page are all general introductions to the Python language. Most of these books will contain a few chapters on particular applications such as GUI interfaces or Web programming, but won't go into great detail on any one topic; refer to the PythonBooks page for lists of application-specific books. Experienced programmers who prefer a brief and condensed introduction should look at the list of ReferenceBooks. Modular Programming with Python By Erik Westra Think Python: How to Think Like a Computer Scientist How to Think Like a Computer Scientist by Allen B. Downey

Python Course: Modular Programming and Modules Modular Programming If you want to develop programs which are readable, reliable and maintainable without too much effort, you have use some kind of modular software design. Especially if your application has a certain size. There exists a variety of concepts to design software in modular form. Modular programming is a software design technique to split your code into separate parts. Choose Your Own Pyventure - Wikibooks, collection of open-content textbooks Purpose[edit] This book is the curriculum book for the Twin Cities ExCo (Experimental College) class Bits and Bites: Programming First Steps Do you think that programmers are born with keyboards in their hands? Programmers are made, not born -- you too can code with the best of them. Twitter sentiment analysis using Python and NLTK This post describes the implementation of sentiment analysis of tweets using Python and the natural language toolkit NLTK. The post also describes the internals of NLTK related to this implementation. Background The purpose of the implementation is to be able to automatically classify a tweet as a positive or negative tweet sentiment wise. The classifier needs to be trained and to do that, we need a list of manually classified tweets.

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