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Python Cookbook 2ND Editionby Alex Martelli
Synopses & Reviews
Portable, powerful, and a breeze to use, Python is the popular open source object-oriented programming language used for both standalone programs and scripting applications. It is now being used by an increasing number of major organizations, including NASA and Google.
Updated for Python 2.4, The Python Cookbook, 2nd Edition offers a wealth of useful code for all Python programmers, not just advanced practitioners. Like its predecessor, the new edition provides solutions to problems that Python programmers face everyday.
It now includes over 200 recipes that range from simple tasks, such as working with dictionaries and list comprehensions, to complex tasks, such as monitoring a network and building a templating system. This revised version also includes new chapters on topics such as time, money, and metaprogramming.
Here's a list of additional topics covered:
With scores of practical examples and pertinent background information, The Python Cookbook, 2nd Edition is the one source you need if you're looking to build efficient, flexible, scalable, and well-integrated systems.
New edition has additional chapters and over 200 new recipes, updated for Python 2.4
About the Author
Alex Martelli spent 8 years with IBM Research, winning three Outstanding Technical Achievement Awards. He then spent 13 as a Senior Software Consultant at think3 inc, developing libraries, network protocols, GUI engines, event frameworks, and web access frontends. He has also taught programming languages, development methods, and numerical computing at Ferrara University and other venues. He's a C++ MVP for Brainbench, and a member of the Python Software Foundation. He currently works for AB Strakt, a Python-centered software house in G teborg, Sweden, mostly by telecommuting from his home in Bologna, Italy. Alex's proudest achievement is the articles that appeared in Bridge World (January/February 2000), which were hailed as giant steps towards solving issues that had haunted contract bridge theoreticians for decades.
Anna Martelli Ravenscroft has a background in training and mentoring, particularly in office technologies. She brings a fresh perspective to Python with a focus on practical, real-world problem solving. Anna is currently pursuing a degree at Stanford University and often pair programs (in Python) with her husband and children.
David Ascher is the lead for Python projects at ActiveState, including Komodo, ActiveState's integrated development environment written mostly in Python. David has taught courses about Python to corporations, in universities, and at conferences. He also organized the Python track at the 1999 and 2000 O'Reilly Open Source Conventions, and was the program chair for the 10th International Python Conference. In addition, he co-wrote Learning Python (both editions) and serves as a director of the Python Software Foundation. David holds a B.S. in physics and a Ph.D. in cognitive science, both from Brown University.
Table of Contents
PrefaceChapter 1: TextChapter 2: FilesChapter 3: Time and MoneyChapter 4: Python ShortcutsChapter 5: Searching and SortingChapter 6: Object-Oriented ProgrammingChapter 7: Persistence and DatabasesChapter 8: Debugging and TestingChapter 9: Processes, Threads, and SynchronizationChapter 10: System AdministrationChapter 11: User InterfacesChapter 12: Processing XMLChapter 13: Network ProgrammingChapter 14: Web ProgrammingChapter 15: Distributed ProgrammingChapter 16: Programs About ProgramsChapter 17: Extending and EmbeddingChapter 18: AlgorithmsChapter 19: Iterators and GeneratorsChapter 20: Descriptors, Decorators,and MetaclassesColophon
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