Python Pocket Reference
5th edition

Par : Mark Lutz

Formats :

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  • Nombre de pages254
  • PrésentationBroché
  • FormatPoche
  • Poids0.225 kg
  • Dimensions11,0 cm × 18,0 cm × 1,4 cm
  • ISBN978-1-4493-5701-6
  • EAN9781449357016
  • Date de parution01/02/2014
  • ÉditeurO'Reilly

Résumé

Updated for both Python 3.4 and 2.7, this convenient pocket guide is the perfect on-the-job quick reference. You'll find concise, need-to-know information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools. The handy index lets you pinpoint exactly what you need. Written by Mark Lutz — widely recognized as the world's leading Python trainer — Python Pocket Reference is an ideal companion to O'Reilly's classic Python tutorials, Learning Python and Programming Python, also written by Mark.
This fifth edition covers : built-in object types, including numbers, lists, dictionaries, and more ; statements and syntax for creating and processing objects ; functions and modules for structuring and reusing code ; Python's object-oriented programming tools ; built-in functions, exceptions, and attributes ; special operator overloading methods ; widely used standard library modules and extensions ; command-line options and development tools ; python idioms and hints ; the Python SQL Database API.
Updated for both Python 3.4 and 2.7, this convenient pocket guide is the perfect on-the-job quick reference. You'll find concise, need-to-know information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools. The handy index lets you pinpoint exactly what you need. Written by Mark Lutz — widely recognized as the world's leading Python trainer — Python Pocket Reference is an ideal companion to O'Reilly's classic Python tutorials, Learning Python and Programming Python, also written by Mark.
This fifth edition covers : built-in object types, including numbers, lists, dictionaries, and more ; statements and syntax for creating and processing objects ; functions and modules for structuring and reusing code ; Python's object-oriented programming tools ; built-in functions, exceptions, and attributes ; special operator overloading methods ; widely used standard library modules and extensions ; command-line options and development tools ; python idioms and hints ; the Python SQL Database API.