Python Pocket Reference
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Python Pocket Reference
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Author : Mark Lutz
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2014-01-22
Python Pocket Reference written by Mark Lutz and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-22 with Computers categories.
Updated for both Python 3.4 and 2.7, this convenient pocket guide is the perfect on-the-job quick reference. Youâ??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 Lutzâ??widely recognized as the worldâ??s leading Python trainerâ??Python Pocket Reference is an ideal companion to Oâ??Reillyâ??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 Pythonâ??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
Python Pocket Reference
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Author : Mark Lutz
language : en
Publisher:
Release Date : 1998
Python Pocket Reference written by Mark Lutz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.
Python is a popular object-oriented scripting language that is freely available over the Net. It's portable, powerful, and remarkably easy to use. Python is commonly used for both stand-alone programs and scripting applications, in a wide variety of domains.This book is a companion volume to two O'Reilly Animal Guides, "Programming Python" and "Learning Python." It summarizes Python statements and types, built-in functions, commonly used library modules, and other prominent Python language features.This pocket reference covers the latest Python release and complements Python's online reference material.
Python Pocket Reference 4th Edition
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Author : Mark Lutz
language : en
Publisher:
Release Date : 2009
Python Pocket Reference 4th Edition written by Mark Lutz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
This is the book to reach for when you're coding on the fly and need an answer now . It's an easy-to-use reference to the core language, with descriptions of commonly used modules and toolkits, and a guide to recent changes, new features, and upgraded built-ins -- all updated to cover Python 3.X as well as version 2.6. You'll also quickly find exactly what you need with the handy index. Written by Mark Lutz -- widely recognized as the world's leading Python trainer -- Python Pocket Reference , Fourth Edition, is the perfect companion to O'Reilly's classic Python tutorials, also written by Mark: Learning Python and Programming Python . 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 The exception-handling model 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.
Python Pocket Reference
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Author : Mark Lutz
language : en
Publisher:
Release Date : 2005
Python Pocket Reference written by Mark Lutz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Python Pocket Reference 3 E Covers Python 2 4
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Author : Mark Lutz
language : en
Publisher:
Release Date : 2005-01-01
Python Pocket Reference 3 E Covers Python 2 4 written by Mark Lutz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-01 with Python (Computer program language) categories.
Python is optimized for quality, productivity, portability, and integration. Hundreds of thousands of Python developers around the world rely on Python for general-purpose tasks, Internet scripting, systems programming, user interfaces, and product customization. Available on all major computing platforms, including commercial versions of Unix, Linux, Windows, and Mac OS X, Python is portable, powerful and remarkable easy to use.
Python Pocket Reference
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Author : Mark Lutz
language : en
Publisher: O'Reilly Media
Release Date : 1998
Python Pocket Reference written by Mark Lutz and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.
This handy reference guide summarizes Python statements, built-in functions, escape and formatting codes, and other prominent Python language features.
Python Pocket Reference Third Edition
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Author : Mark Lutz
language : en
Publisher:
Release Date : 2005
Python Pocket Reference Third Edition written by Mark Lutz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Python is optimized for quality, productivity, portability, and integration. Hundreds of thousands of Python developers around the world rely on Python for general-purpose tasks, Internet scripting, systems programming, user interfaces, and product customization. Available on all major computing platforms, including commercial versions of Unix, Linux, Windows, and Mac OS X, Python is portable, powerful and remarkable easy to use. With its convenient, quick-reference format, Python Pocket Reference , 3rd Edition is the perfect on-the-job reference. More importantly, it's now been refreshed to cover the language's latest release, Python 2.4. For experienced Python developers, this book is a compact toolbox that delivers need-to-know information at the flip of a page. This third edition also includes an easy-lookup index to help developers find answers fast! Python 2.4 is more than just optimization and library enhancements; it's also chock full of bug fixes and upgrades. And these changes are addressed in the Python Pocket Reference , 3rd Edition. New language features, new and upgraded built-ins, and new and upgraded modules and packages--they're all clarified in detail. The Python Pocket Reference , 3rd Edition serves as the perfect companion to Learning Python and Programming Python .
Python Pocket Reference Second Edition
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Author : Mark Lutz
language : en
Publisher:
Release Date : 2001
Python Pocket Reference Second Edition written by Mark Lutz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.
Python is optimized for quality, productivity, portability, and integration. Hundreds of thousands of Python developers around the world rely on Python for Internet scripting, systems programming, user interfaces, and product customization. Python is available on all major computing platforms, including commercial versions of Unix, Linux, Windows, and Mac OS. It's portable, powerful, and remarkably easy to use. It's also an interpreted language, designed for rapid application development and deployment. Python Pocket Reference, 2nd Edition is a companion volume to two O'Reilly Animal Guides, Programming Python, 2nd Edition and Learning Python . It summarizes Python statements and types, built-in functions, commonly used library modules, and other prominent Python language features. This pocket reference covers the latest Python release 2.2, and provides quick access to just what you're looking for. It is a short, concise reference for the most commonly used libraries and tools. The new edition also includes new summary material for Python's GUI, Internet, and database programming tools. The author, Mark Lutz, is a Python luminary-who has been on the Python scene since its inception.
Python Pocket Reference 4 E Covers Python 3 X 2 6
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Author : Mark Lutz
language : en
Publisher:
Release Date : 2005
Python Pocket Reference 4 E Covers Python 3 X 2 6 written by Mark Lutz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Python (Computer program language) categories.
This is the book to reach for when you're coding on the fly and need an answer now. It's an easy-to-use reference to the core language, with descriptions of commonly used modules and toolkits, and a guide to recent changes, new features, and upgraded built-ins -- all updated to cover Python 3.x as well as version 2.6. You'll also quickly find exactly what you need with the handy index.
Pytorch Pocket Reference
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Author : Joe Papa
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-05-11
Pytorch Pocket Reference written by Joe Papa and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-11 with Computers categories.
This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant access to syntax, design patterns, and code examples to accelerate your development and reduce the time you spend searching for answers. Research scientists, machine learning engineers, and software developers will find clear, structured PyTorch code that covers every step of neural network development-from loading data to customizing training loops to model optimization and GPU/TPU acceleration. Quickly learn how to deploy your code to production using AWS, Google Cloud, or Azure and deploy your ML models to mobile and edge devices. Learn basic PyTorch syntax and design patterns Create custom models and data transforms Train and deploy models using a GPU and TPU Train and test a deep learning classifier Accelerate training using optimization and distributed training Access useful PyTorch libraries and the PyTorch ecosystem