The Python Cookbook is a collection of problems, solutions, and practical examples for Python programmers, written by Python programmers. Over the past year, members of the Python community have contributed material to an online repository of Python recipes hosted by ActiveState. This book contains the best of those recipes, accompanied by overviews and background material by key Python figures.The recipes in the Python Cookbook range from simple tasks, such as working with dictionaries and list comprehensions, to entire modules that demonstrate templating systems and network monitoring. This book contains over 200 recipes on the following topics:
<ul>
<li>Searching and sorting</li>
<li>Manipulating text</li>
<li>Working with files and the filesystem</li>
<li>Object-oriented programming</li>
<li>Dealing with threads and processes</li>
<li>System administration</li>
<li>Interacting with databases</li>
<li>Creating user interfaces</li>
<li>Network and web programming</li>
<li>Processing XML</li>
<li>Distributed programming</li>
<li>Debugging and testing</li>
<li>Extending Python</li>
</ul>This book is a treasure trove of useful code for all Python programmers, from novices to advanced practitioners, with contributions from such Python luminaries as Guido Van Rossum, David Ascher, Tim Peters, Paul Prescod, Mark Hammond, and Alex Martelli, as well as over 100 other Python programmers. The recipes highlight Python best practices and can be used directly in day-to-day programming tasks, as a source of ideas, or as a way to learn more about Python.The recipes in the Python Cookbook were edited by David Ascher, who is on the board of the Python Software Foundation and is the co-author of Learning Python, and Alex Martelli, who is known for his numerous and exhaustive postings on the Python mailing list. The book contains a foreword by Guido van Rossum, the creator of Python.

Python Cookbook

Computers & Technology

Ascher, David

Martelli, Alex

Networking & Cloud Computing

O'Reilly Media

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:
<ul>
<li>Manipulating text</li>
<li>Searching and sorting</li>
<li>Working with files and the filesystem</li>
<li>Object-oriented programming</li>
<li>Dealing with threads and processes</li>
<li>System administration</li>
<li>Interacting with databases</li>
<li>Creating user interfaces</li>
<li>Network and web programming</li>
<li>Processing XML</li>
<li>Distributed programming</li>
<li>Debugging and testing</li>
</ul>Another advantage of The Python Cookbook, 2nd Edition is its trio of authors--three well-known Python programming experts, who are highly visible on email lists and in newsgroups, and speak often at Python conferences.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.

Ravenscroft, Anna

Web Development & Design

This book offers Python programmers one place to look when they needhelp remembering or deciphering the syntax of this open source languageand its many powerful but scantily documented modules. Thiscomprehensive reference guide makes it easy to look up the mostfrequently needed information--not just about the Python languageitself, but also the most frequently used parts of the standard libraryand the most important third-party extensions. Ask any Python aficionado and you'll hear that Python programmers haveit all: an elegant object-oriented language with readable andmaintainable syntax, that allows for easy integration with componentsin C, C++, Java, or C#, and an enormous collection of precoded standardlibrary and third-party extension modules. Moreover, Python is easy tolearn, yet powerful enough to take on the most ambitious programmingchallenges. But what Python programmers used to lack is a concise andclear reference resource, with the appropriate measure of guidance inhow best to use Python's great power. Python in aNutshell fills this need. Python in a Nutshell, Second Edition covers morethan the language itself; it also deals with the mostfrequently used parts of the standard library, and the most popular andimportant third party extensions. Revised and expanded forPython 2.5, this book now contains the gory details of Python's newsubprocess module and breaking news about Microsoft's newIronPython project. Our "Nutshell" format fits Python perfectly bypresenting the highlights of the most important modules and functionsin its standard library, which cover over 90% of your practicalprogramming needs. This book includes: <ul>
<li>A fast-paced tutorial on the syntax of the Python language</li>
<li>An explanation of object-oriented programming in Python </li>
<li>Coverage of iterators, generators, exceptions, modules,packages, strings, and regular expressions</li>
<li>A quick reference for Python's built-in types and functionsand key modules </li>
<li>Reference material on important third-party extensions,such as Numeric and Tkinter</li>
<li>Information about extending and embedding Python </li>
</ul>
Python in a Nutshell provides a solid,no-nonsense quick reference to information that programmers rely on themost. This book will immediately earn its place in any Pythonprogrammer's library. Praise for the First Edition: 
"In a nutshell, Python in a Nutshell serves oneprimary goal: to act as an immediately accessible goal for the Pythonlanguage. True, you can get most of the same core information that ispresented within the covers of this volume online, but this willinvariably be broken into multiple files, and in all likelihood lackingthe examples or the exact syntax description necessary to trulyunderstand a command." --Richard Cobbett, Linux Format 
"O'Reilly has several good books, of which Python in aNutshell by Alex Martelli is probably the best for giving yousome idea of what Python is about and how to do useful things with it." --Jerry Pournelle, Byte Magazine

Python in a Nutshell: A Desktop Quick Reference

Python was recently ranked as today's most popular programming language on the TIOBE index, thanks to its broad applicability to design and prototyping to testing, deployment, and maintenance. With this updated fourth edition, you'll learn how to get the most out of Python, whether you're a professional programmer or someone who needs this language to solve problems in a particular field. 
Carefully curated by recognized experts in Python, this new edition focuses on version 3.10, bringing this seminal work on the Python language fully up to date on five version releases, including preview coverage of upcoming 3.11 features. 
This handy guide will help you: Learn how Python represents data and program as objects Understand the value and uses of type annotations Examine which language features appeared in which recent versions Discover how to use modern Python idiomatically Learn ways to structure Python projects appropriately Understand how to debug Python code

McGuire, Paul

Holden, Steve

Ravenscroft, Anna Martelli

Computer Science

Useful in many roles, from design and prototyping to testing, deployment, and maintenance, Python is consistently ranked among today’s most popular programming languages. The third edition of this practical book provides a quick reference to the language—including Python 3.5, 2.7, and highlights of 3.6—commonly used areas of its vast standard library, and some of the most useful third-party modules and packages.
Ideal for programmers with some Python experience, and those coming to Python from other programming languages, this book covers a wide range of application areas, including web and network programming, XML handling, database interactions, and high-speed numeric computing. Discover how Python provides a unique mix of elegance, simplicity, practicality, and sheer power.
This edition covers:
<ul>
<li>Python syntax, Object-Oriented Python, standard library modules, and third-party Python packages</li>
<li>Python’s support for file and text operations, persistence and databases, concurrent execution, and numeric computations</li>
<li>Networking basics, event-driven programming, and client-side network protocol modules</li>
<li>Python extension modules, and tools for packaging and distributing extensions, modules, and applications</li>
</ul>

Programming

Python - Manuel de référence

Martelli Ravenscroft, Anna

FIRST INTERACT

El lenguaje de programación Python logra reconciliar evidentes contradicciones: es tan elegante como pragmático, es simple pero potente, es de muy alto nivel, aunque no resulta molesto cuando hay que modificar bits y bytes. Se adapta a programadores principiantes y a expertos. Éste es un libro de referencia para los program

Python. Guía de referencia (Spanish Edition)

Programming Languages

Anaya Multimedia

See the best price to sell, buy, or rent books by Martelli, Alex. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Martelli, Alex

See the best price to sell, buy, or rent books by Martelli, Alex. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Python Cookbook

Python Cookbook

Python in a Nutshell: A Desktop Quick Reference

Python in a Nutshell: A Desktop Quick Reference

Python in a Nutshell: A Desktop Quick Reference

Python - Manuel de référence

Python. Guía de referencia (Spanish Edition)