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Python Pocket Reference Best Sellers Rank : #4
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Thelma M Almanza
1 Views • Nov 10, 2020
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Click Here : https://ruat101.blogspot.com/?book=1449357016
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 moreStatements and syntax for creating and processing objectsFunctions and modules for structuring and reusing codePython?s object-oriented programming toolsBuilt-in functions, exceptions, and attributesSpecial operator overloading methodsWidely used standard library modules and extensionsCommand-line options and development toolsPython idioms and hintsThe 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 moreStatements and syntax for creating and processing objectsFunctions and modules for structuring and reusing codePython?s object-oriented programming toolsBuilt-in functions, exceptions, and attributesSpecial operator overloading methodsWidely used standard library modules and extensionsCommand-line options and development toolsPython idioms and hintsThe Python SQL Database API
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