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Programming Python /

Programming Python is an excellent compendium of material geared toward the more knowledgeable Python developer. It includes dozens of reusable scripts for common scripting tasks, and is one of the best available sources of information for this popular object-oriented scripting language. In over 1,2...

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Detalles Bibliográficos
Clasificación:QA76.73 P9.8 L8.8
Autor principal: Lutz, Mark (autor)
Formato: Libro
Idioma:Inglés
Publicado: Bonn ; Sebastopol, CA : O'Reilly, 1996.
Edición:1st edition.
Colección:A Nutshell handbook
Temas:

MARC

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245 1 0 |a Programming Python /  |c Mark Lutz. 
250 |a 1st edition. 
264 1 |a Bonn ;  |a Sebastopol, CA :  |b O'Reilly,  |c 1996. 
300 |a xxii, 880 páginas :  |b ilustraciones ;  |c 24 cm. +  |e 1 disco óptico laser para computadora (4 3/4 plg.) 
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520 0 |a Programming Python is an excellent compendium of material geared toward the more knowledgeable Python developer. It includes dozens of reusable scripts for common scripting tasks, and is one of the best available sources of information for this popular object-oriented scripting language. In over 1,200 pages of material, this book offers an extremely comprehensive guide to Python development. Though his book is densely packed with information, Mark Lutz is a lively and witty writer whose focus is on getting things done using the natural strengths of the Python language. To that end, after an introduction and history of the language, the book shows how to use Python for performing automated tasks with files and directories (for example, for doing backups both locally and on Web servers). Not only will this book teach you more about Python, but it will also give you a library of code that you can use as is or adapt for your own projects. The text covers every conceivable facet of Python and the language's support for networking, files and directories, task management, and even persistence (through its support for shelves). Complete Python programs show how to create e-mail clients, do reporting, and create Web applications (for an online errata database). Chapters on doing graphics programming in Python, as well as coverage of both built-in and custom data structures, are especially good. Because Python is often used for automating installations (in some Linux distributions, for instance), readers will appreciate the sample code and tips for using Python to create bulletproof installs. 
504 |a Incluye referencias bibliográficas: (páginas 858-860). 
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650 0 |a Python (Computer program language) 
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