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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 <mertz@gnosis.cx> . A few caveats: (1) This stuff is copyrighted by AW (except the code samples which are released to the public domain).

http://gnosis.cx/TPiP/

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.

Non-Programmer's Tutorial for Python 2.6 Non-Programmer's Tutorial for Python 2.6 From Wikibooks, open books for an open world Jump to: navigation, search For Python 3, see Non-Programmer's Tutorial for Python 3. Contents[edit] Authors Test-Driven Development with Python Test-Driven Development with Python Test-Driven Development with Python Harry Percival Think Python: How to Think Like a Computer Scientist How to Think Like a Computer Scientist by Allen B. Downey introduction to python - Random stream This is the material which I use for teaching python to beginners. tld;dr: Very minimal explanation more code. Python? Interpreted languageMultiparadigm Introduction Think Complexity by Allen B. Downey Buy this book from Amazon.com. Download this book in PDF.

The Python Tutorial 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).

Building Skills in Python — Building Skills in Python A Programmer’s Introduction to Python Legal Notice This work is licensed under a Creative Commons License. Code Like a Pythonista: Idiomatic Python In this interactive tutorial, we'll cover many essential Python idioms and techniques in depth, adding immediately useful tools to your belt. There are 3 versions of this presentation: ©2006-2008, licensed under a Creative Commons Attribution/Share-Alike (BY-SA) license.

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