By Alex Martelli

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Portable, strong, and a breeze to exploit, Python is the preferred open resource object-oriented programming language used for either standalone courses and scripting functions. it truly is now getting used by way of more and more significant businesses, together with NASA and Google. up to date for Python 2.4, The Python Cookbook, second version bargains a wealth of worthwhile code for all Python programmers, not only complex practitioners. Like its predecessor, the hot version presents ideas to difficulties that Python programmers face daily. It now comprises over two hundred recipes that variety from uncomplicated projects, corresponding to operating with dictionaries and checklist comprehensions, to complicated initiatives, equivalent to tracking a community and construction a templating process. This revised model additionally contains new chapters on themes similar to time, funds, and metaprogramming. Here's an inventory of extra subject matters lined: * Manipulating textual content
* looking and sorting
* operating with documents and the filesystem
* Object-oriented programming
* facing threads and tactics
* procedure management
* Interacting with databases
* growing consumer interfaces
* community and net programming
* Processing XML
* disbursed programming
* Debugging and testing
one other good thing about The Python Cookbook, 2d variation is its trio of authors--three famous Python programming specialists, who're hugely noticeable on e mail lists and in newsgroups, and converse frequently at Python meetings. With rankings of functional examples and pertinent history info, The Python Cookbook, second version is the only resource you wish if you're trying to construct effective, versatile, scalable, and well-integrated systems.
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Additional resources for Python Cookbook (2nd Edition)

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So, I wrote myself a class (later remade into the factory closure presented in this recipe's Solution) to encapsulate various possibilities behind a simpler-to-use facade. digits, to='#') >>> digits_to_hash('Chris Perkins : 224-7992') 'Chris Perkins : ###-####' While the latter may appear to be a bit of a special case, it is a task that keeps coming up for me every once in a while. I had to make one arbitrary design decision in this recipenamely, I decided that the delete parameter "trumps" the keep parameter if they overlap: >>> trans = translator(delete='abcd', keep='cdef') >>> trans('abcdefg') 'ef' For your applications it might be preferable to ignore delete if keep is specified, or, perhaps better, to raise an exception if they are both specified, since it may not make much sense to let them both be given in the same call to translator, anyway.

You guys are the best kids a mother could wish for. Chapter 1. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. Converting HTML Documents to Texton a Unix Terminal Introduction Credit: Fred L. , PythonLabs Text-processing applications form a substantial part of the application space for any scripting language, if only because everyone can agree that text processing is useful. Everyone has bits of text that need to be reformatted or transformed in various ways.

More elaborate solutions can be built when the text processing needs to be started before all the data is available. Examples of parsers that are useful in such situations may be found in the htmllib and HTMLParser modules in the standard library. String Basics The main tool Python gives us to process text is stringsimmutable sequences of characters. There are actually two kinds of strings: plain strings, which contain 8-bit (ASCII) characters; and Unicode strings, which contain Unicode characters.

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