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Python Pocket Reference

Author: Mark Lutz

Publisher: "O'Reilly Media, Inc."

Published: 2014-01-22

Total Pages: 266

ISBN-13: 144935694X

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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

Book Synopsis Python Pocket Reference by : Mark Lutz

Download or read book Python Pocket Reference written by Mark Lutz and published by "O'Reilly Media, Inc.". This book was released on 2014-01-22 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Machine Learning Pocket Reference

Author: Matt Harrison

Publisher: "O'Reilly Media, Inc."

Published: 2019-08-27

Total Pages: 320

ISBN-13: 149204749X

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With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You’ll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics. This pocket reference includes sections that cover: Classification, using the Titanic dataset Cleaning data and dealing with missing data Exploratory data analysis Common preprocessing steps using sample data Selecting features useful to the model Model selection Metrics and classification evaluation Regression examples using k-nearest neighbor, decision trees, boosting, and more Metrics for regression evaluation Clustering Dimensionality reduction Scikit-learn pipelines

Book Synopsis Machine Learning Pocket Reference by : Matt Harrison

Download or read book Machine Learning Pocket Reference written by Matt Harrison and published by "O'Reilly Media, Inc.". This book was released on 2019-08-27 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You’ll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics. This pocket reference includes sections that cover: Classification, using the Titanic dataset Cleaning data and dealing with missing data Exploratory data analysis Common preprocessing steps using sample data Selecting features useful to the model Model selection Metrics and classification evaluation Regression examples using k-nearest neighbor, decision trees, boosting, and more Metrics for regression evaluation Clustering Dimensionality reduction Scikit-learn pipelines

Python Pocket Reference

Author: Mark Lutz

Publisher: "O'Reilly Media, Inc."

Published: 2005-02-24

Total Pages: 159

ISBN-13: 0596009402

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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.

Book Synopsis Python Pocket Reference by : Mark Lutz

Download or read book Python Pocket Reference written by Mark Lutz and published by "O'Reilly Media, Inc.". This book was released on 2005-02-24 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author: Mark Lutz

Publisher: "O'Reilly Media, Inc."

Published: 2002

Total Pages: 132

ISBN-13: 9780596001896

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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.

Book Synopsis Python Pocket Reference by : Mark Lutz

Download or read book Python Pocket Reference written by Mark Lutz and published by "O'Reilly Media, Inc.". This book was released on 2002 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author: Mark Lutz

Publisher: O'Reilly Media

Published: 1998

Total Pages: 88

ISBN-13:

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This handy reference guide summarizes Python statements, built-in functions, escape and formatting codes, and other prominent Python language features.

Book Synopsis Python Pocket Reference by : Mark Lutz

Download or read book Python Pocket Reference written by Mark Lutz and published by O'Reilly Media. This book was released on 1998 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handy reference guide summarizes Python statements, built-in functions, escape and formatting codes, and other prominent Python language features.

Python

Author: Martin C. Brown

Publisher: Complete Reference

Published: 2001

Total Pages: 0

ISBN-13: 9780072127188

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Includes complete module guide and details on using Python for RAD--cover.

Book Synopsis Python by : Martin C. Brown

Download or read book Python written by Martin C. Brown and published by Complete Reference. This book was released on 2001 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes complete module guide and details on using Python for RAD--cover.

Pocket Ref

Author:

Publisher: Sequoia Publishing

Published: 2010-09

Total Pages: 0

ISBN-13: 9781885071620

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Among the many topics covered in this handy, pocket-sized guide are air and gases, carpentry and construction, pipes, pumps, computers, electronics, geology, math, surveying and mapping, and weights and measures. Includes tables, charts, drawings, lists & formulas.

Book Synopsis Pocket Ref by :

Download or read book Pocket Ref written by and published by Sequoia Publishing. This book was released on 2010-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Among the many topics covered in this handy, pocket-sized guide are air and gases, carpentry and construction, pipes, pumps, computers, electronics, geology, math, surveying and mapping, and weights and measures. Includes tables, charts, drawings, lists & formulas.

Python Pocket Reference, 3/E (Covers Python 2.4)

Author: Mark Lutz

Publisher:

Published: 2005-01-01

Total Pages: 168

ISBN-13: 9788173669705

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Book Synopsis Python Pocket Reference, 3/E (Covers Python 2.4) by : Mark Lutz

Download or read book Python Pocket Reference, 3/E (Covers Python 2.4) written by Mark Lutz and published by . This book was released on 2005-01-01 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author: Mark Lutz

Publisher: "O'Reilly Media, Inc."

Published: 2014-01-22

Total Pages: 265

ISBN-13: 1449356982

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Updated for both Python 3.4 and 2.7, this guide provides concise information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools.--From back cover.

Book Synopsis Python Pocket Reference by : Mark Lutz

Download or read book Python Pocket Reference written by Mark Lutz and published by "O'Reilly Media, Inc.". This book was released on 2014-01-22 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Updated for both Python 3.4 and 2.7, this guide provides concise information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools.--From back cover.

Python Pocket Reference, 4/E (Covers Python 3 X & 2.6)

Author: Mark Lutz

Publisher:

Published: 2005

Total Pages: 148

ISBN-13: 9788184048506

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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.

Book Synopsis Python Pocket Reference, 4/E (Covers Python 3 X & 2.6) by : Mark Lutz

Download or read book Python Pocket Reference, 4/E (Covers Python 3 X & 2.6) written by Mark Lutz and published by . This book was released on 2005 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.