Python Pocket Reference

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Python Pocket Reference

Mark Lutz
Python Pocket Reference Book PDF

Author : Mark Lutz
Publisher : "O'Reilly Media, Inc."
Page : 266 pages
File Size : 54,9 Mb
Release : 2014-01-22
Category : Computers
ISBN : 9781449356941

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Python Pocket Reference by Mark Lutz Pdf

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

Python Pocket Reference

Mark Lutz
Python Pocket Reference Book PDF

Author : Mark Lutz
Publisher : O'Reilly Media
Page : 88 pages
File Size : 48,8 Mb
Release : 1998
Category : Computers
ISBN : UCSD:31822026372649

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Python Pocket Reference by Mark Lutz Pdf

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

Python Pocket Reference

Mark Lutz
Python Pocket Reference Book PDF

Author : Mark Lutz
Publisher : "O'Reilly Media, Inc."
Page : 265 pages
File Size : 50,6 Mb
Release : 2014-01-22
Category : Computers
ISBN : 9781449356989

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Python Pocket Reference by Mark Lutz Pdf

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.

Machine Learning Pocket Reference

Matt Harrison
Machine Learning Pocket Reference Book PDF

Author : Matt Harrison
Publisher : "O'Reilly Media, Inc."
Page : 320 pages
File Size : 46,9 Mb
Release : 2019-08-27
Category : Computers
ISBN : 9781492047490

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Machine Learning Pocket Reference by Matt Harrison Pdf

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

Mark Lutz
Python Pocket Reference Book PDF

Author : Mark Lutz
Publisher : Createspace Independent Publishing Platform
Page : 150 pages
File Size : 40,8 Mb
Release : 2017-07-17
Category : Electronic
ISBN : 1548987816

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Python Pocket Reference by Mark Lutz Pdf

Learn to use the Python language to create programs of all kinds. Author Jason Cannon will guide you from complete unfamiliarity with Python to creating practical applications. With Python, lack of experience isn't an obstacle to programming language mastery. This updated and expanded second edition of Book provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for all those interested in the subject . We hope you find this book useful in shaping your future career & Business.

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

Mark Lutz
Python Pocket Reference 3 E Covers Python 2 4 Book PDF

Author : Mark Lutz
Publisher : Unknown
Page : 168 pages
File Size : 40,8 Mb
Release : 2005-01-01
Category : Python (Computer program language)
ISBN : 8173669708

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Python Pocket Reference, 3/E (Covers Python 2.4) by Mark Lutz Pdf

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, 4th Edition

Mark Lutz
Python Pocket Reference 4th Edition Book PDF

Author : Mark Lutz
Publisher : Unknown
Page : 0 pages
File Size : 50,9 Mb
Release : 2009
Category : Electronic
ISBN : OCLC:1380772398

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Python Pocket Reference, 4th Edition by Mark Lutz Pdf

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

Mark Lutz
Python Pocket Reference 4 E Covers Python 3 X 2 6 Book PDF

Author : Mark Lutz
Publisher : Unknown
Page : 148 pages
File Size : 46,8 Mb
Release : 2005
Category : Python (Computer program language)
ISBN : 8184048505

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

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.

Python Pocket Reference, 3rd Edition

Mark Lutz
Python Pocket Reference 3rd Edition Book PDF

Author : Mark Lutz
Publisher : Unknown
Page : 0 pages
File Size : 49,9 Mb
Release : 2005
Category : Electronic
ISBN : OCLC:1380768068

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Python Pocket Reference, 3rd Edition by Mark Lutz Pdf

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 .

PyTorch Pocket Reference

Joe Papa
PyTorch Pocket Reference Book PDF

Author : Joe Papa
Publisher : "O'Reilly Media, Inc."
Page : 310 pages
File Size : 53,7 Mb
Release : 2021-05-11
Category : Computers
ISBN : 9781492089971

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PyTorch Pocket Reference by Joe Papa Pdf

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

Machine Learning Pocket Reference

Matt Harrison
Machine Learning Pocket Reference Book PDF

Author : Matt Harrison
Publisher : O'Reilly Media
Page : 321 pages
File Size : 42,7 Mb
Release : 2019-08-27
Category : Computers
ISBN : 9781492047513

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Machine Learning Pocket Reference by Matt Harrison Pdf

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

Learning Python

Mark Lutz
Learning Python Book PDF

Author : Mark Lutz
Publisher : "O'Reilly Media, Inc."
Page : 1645 pages
File Size : 55,9 Mb
Release : 2013-06-12
Category : Computers
ISBN : 9781449355715

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Learning Python by Mark Lutz Pdf

"Based on author Mark Lutz's popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It's an ideal way to begin, whether you're new to programming or a professional developer versed in other languages."--Provided by publisher.

Programming Python

Mark Lutz
Programming Python Book PDF

Author : Mark Lutz
Publisher : "O'Reilly Media, Inc."
Page : 1300 pages
File Size : 41,7 Mb
Release : 2001
Category : Electronic books
ISBN : 0596000855

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Programming Python by Mark Lutz Pdf

Computer disc includes examples from the book, Python-related software packages, and the full Python 2.0 source code distribution for PC, Macintosh, and Unix platforms.

Programming Python

Mark Lutz
Programming Python Book PDF

Author : Mark Lutz
Publisher : O'Reilly Media
Page : 916 pages
File Size : 40,7 Mb
Release : 1996
Category : Internet
ISBN : UOM:39076001720924

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Programming Python by Mark Lutz Pdf

This handbook describes how to use Python, an increasingly popular object-oriented scripting language freely available over the Net. Python is an interpreted language, useful for quick prototyping and simple programs for which C++ is too complex and unwieldy. The Python interpreter is available on most popular UNIX platforms, including Linux, as well as Windows and the Mac.

Data Pipelines Pocket Reference

James Densmore
Data Pipelines Pocket Reference Book PDF

Author : James Densmore
Publisher : O'Reilly Media
Page : 277 pages
File Size : 46,7 Mb
Release : 2021-02-10
Category : Computers
ISBN : 9781492087809

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Data Pipelines Pocket Reference by James Densmore Pdf

Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as batch versus streaming data ingestion and build versus buy. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support analytics and reporting needs Considerations for pipeline maintenance, testing, and alerting