Python Pocket Reference

Updated for both Python 3.4 and 2.7, this convenient pocket guide is the perfect on-the-job quick reference.

Author: Mark Lutz

Publisher: "O'Reilly Media, Inc."

ISBN: 144935694X

Category: Computers

Page: 266

View: 205

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

This book is a companion volume to two O'Reilly Animal Guides, " Programming Python" and "Learning Python.

Author: Mark Lutz

Publisher: "O'Reilly Media, Inc."

ISBN: 9780596001896

Category: Computers

Page: 124

View: 487

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.

Machine Learning Pocket Reference

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.

Author: Matt Harrison

Publisher: O'Reilly Media

ISBN: 9781492047544

Category: Computers

Page: 303

View: 455

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 Third Edition

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!

Author: Mark Lutz

Publisher:

ISBN:

Category:

Page: 160

View: 870

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 4 E Covers Python 3 X 2 6

This is the book to reach for when you're coding on the fly and need an answer now.

Author: Mark Lutz

Publisher:

ISBN: 9788184048506

Category: Python (Computer program language)

Page: 148

View: 716

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.

The Python Quick Syntax Reference

What you’ll learn Variables, strings, lists, dictionaries and conditional statements are and how to use them Some of the standard libraries and what they can do to help you How to write your own functions How to write your first Python ...

Author: Gregory Walters

Publisher: Apress

ISBN: 1430264780

Category: Computers

Page: 152

View: 472

The Python Quick Syntax Reference is the "go to" book that contains an easy to read and use guide to Python programming and development. This condensed code and syntax reference presents the Python language in a well-organized format designed to be used time and again. You won't find jargon, bloated samples, case studies, or history of Hello World and computer theory in this handy reference. This Python syntax reference is packed with useful information and is a must-have for any Python developer. What you’ll learn Variables, strings, lists, dictionaries and conditional statements are and how to use them Some of the standard libraries and what they can do to help you How to write your own functions How to write your first Python program based on terminal Input and Output How to use the Python Interactive Shell How to use classes in your Python programs Who this book is for The Python Quick Syntax Reference is a great pocket reference guide for anyone wanting to program in Python, from the new user to the experienced programmer. Table of Contents Chapter 1: Hello Python Chapter 2: Variables Chapter 3: Operators Chapter 4: Strings Chapter 5: Conditional Statements and Loops Chapter 6: Data Structures Chapter 7: Keywords Chapter 8: Functions Chapter 9: Libraries Chapter 10: Classes

Python Pocket Reference

OʻREILLY Python Pocket Reference Updated for both Python 3.4 and 2.7 , this convenient pocket guide is the perfect on - the - job quick reference .

Author: Mark Lutz

Publisher: "O'Reilly Media, Inc."

ISBN: 1449356982

Category: Computers

Page: 264

View: 366

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.

Learning Python

"Based on author Mark Lutz's popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python.

Author: Mark Lutz

Publisher: "O'Reilly Media, Inc."

ISBN: 1449355714

Category: Computers

Page: 1648

View: 823

"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.

Regular Expression Pocket Reference

A guide to the syntax and semantics of regular expressions for Perl 5.8, Ruby, Java, PHP, C#, .NET, Python, JavaScript, and PCRE.

Author: Tony Stubblebine

Publisher: "O'Reilly Media, Inc."

ISBN: 0596514271

Category: Computers

Page: 117

View: 714

A guide to the syntax and semantics of regular expressions for Perl 5.8, Ruby, Java, PHP, C#, .NET, Python, JavaScript, and PCRE.

Python Pocket Reference 3 E Covers Python 2 4

Python is optimized for quality, productivity, portability, and integration.

Author: Mark Lutz

Publisher:

ISBN: 9788173669705

Category: Python (Computer program language)

Page: 168

View: 736

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.

JavaScript Pocket Reference

Provides an overview of the scripting language, covering topics including JavaScript objects, methods, properties, and events.

Author: David Flanagan

Publisher: "O'Reilly Media, Inc."

ISBN: 1449316859

Category: Computers

Page: 265

View: 310

Provides an overview of the scripting language, covering topics including JavaScript objects, methods, properties, and events.

Programming Python

A guide to Python, the object-oriented scripting language, discusses the use of Python in Internet and web programming; address Python's C intergration tools; and features many examples that expand as new topics are introduced.

Author: Mark Lutz

Publisher: "O'Reilly Media, Inc."

ISBN: 9780596000851

Category: Computers

Page: 1255

View: 772

A guide to Python, the object-oriented scripting language, discusses the use of Python in Internet and web programming; address Python's C intergration tools; and features many examples that expand as new topics are introduced. Original. (Intermediate/Advanced)

Programming Python

Reviews of the second edition: "...about as comprehensive as any book can be." --Dr. Dobb's Journal "If the language had manuals, they would undoubtedly be the texts from O'Reilly.

Author: Mark Lutz

Publisher: O'Reilly Media

ISBN: 9780596009250

Category: Computers

Page: 1596

View: 176

Already the industry standard for Python users, Programming Python from O'Reilly just got even better. This third edition has been updated to reflect current best practices and the abundance of changes introduced by the latest version of the language, Python 2.5. Whether you're a novice or an advanced practitioner, you'll find this refreshed book more than lives up to its reputation. Programming Python, 3rd Edition, teaches you the right way to code. It explains Python language syntax and programming techniques in a clear and concise manner, with numerous examples that illustrate both correct usage and common idioms. By reading this comprehensive guide, you'll learn how to apply Python in real-world problem domains such as: GUI programming Internet scripting Parallel processing Database management Networked applications Programming Python, Third Edition covers each of these target domains gradually, beginning with in-depth discussions of core concepts and then progressing toward complete programs. Large examples do appear, but only after you've learned enough to understand their techniques and code. Along the way, you'll also learn how to use the Python language in realistically scaled programs--concepts such as Object-Oriented Programming (OOP) and code reuse are recurring side themes throughout this text. If you're interested in Python programming, then this O'Reilly classic needs to be within arm's reach. The wealth of practical advice, snippets of code, and patterns of program design can all be put into use on a daily basis--making your life easier and more productive. Reviews of the second edition: "...about as comprehensive as any book can be." --Dr. Dobb's Journal "If the language had manuals, they would undoubtedly be the texts from O'Reilly...'Learning Python' and 'Programming Python' are definitive treatments." --SD Times

Learning Python

This edition of Learning Python puts you in the hands of two expert teachers, Mark Lutz and David Ascher, whose friendly, well-structured prose has guided many a programmer to proficiency with the language.

Author: Mark Lutz

Publisher: O'Reilly Media

ISBN: 9780596002817

Category: Computers

Page: 552

View: 299

Portable, powerful, and a breeze to use, Python is the popular open source object-oriented programming language used for both standalone programs and scripting applications. Python is considered easy to learn, but there's no quicker way to mastery of the language than learning from an expert teacher. This edition of Learning Python puts you in the hands of two expert teachers, Mark Lutz and David Ascher, whose friendly, well-structured prose has guided many a programmer to proficiency with the language. Learning Python, Second Edition, offers programmers a comprehensive learning tool for Python and object-oriented programming. Thoroughly updated for the numerous language and class presentation changes that have taken place since the release of the first edition in 1999, this guide introduces the basic elements of the latest release of Python 2.3 and covers new features, such as list comprehensions, nested scopes, and iterators/generators. Beyond language features, this edition of Learning Python also includes new context for less-experienced programmers, including fresh overviews of object-oriented programming and dynamic typing, new discussions of program launch and configuration options, new coverage of documentation sources, and more. There are also new use cases throughout to make the application of language features more concrete. The first part of Learning Python gives programmers all the information they'll need to understand and construct programs in the Python language, including types, operators, statements, classes, functions, modules and exceptions. The authors then present more advanced material, showing how Python performs common tasks by offering real applications and the libraries available for those applications. Each chapter ends with a series of exercises that will test your Python skills and measure your understanding. Learning Python, Second Edition is a self-paced book that allows readers to focus on the core Python language in depth. As you work through the book, you'll gain a deep and complete understanding of the Python language that will help you to understand the larger application-level examples that you'll encounter on your own. If you're interested in learning Python--and want to do so quickly and efficiently--then Learning Python, Second Edition is your best choice.

Programming Python

This handbook describes how to use Python, an increasingly popular object-oriented scripting language freely available over the Net.

Author: Mark Lutz

Publisher: O'Reilly Media

ISBN:

Category: Internet

Page: 880

View: 567

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.

TensorFlow 2 Pocket Reference

Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself. When and why would you feed training data as using NumPy or a streaming dataset?

Author: K. C. Tung

Publisher: O'Reilly Media

ISBN: 9781492089186

Category:

Page: 300

View: 594

This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself. When and why would you feed training data as using NumPy or a streaming dataset? How would you set up cross-validations in the training process? How do you leverage a pretrained model using transfer learning? How do you perform hyperparameter tuning? Pick up this pocket reference and reduce the time you spend searching through options for your TensorFlow use cases. Understand best practices in TensorFlow model patterns and ML workflows Use code snippets as templates in building TensorFlow models and workflows Save development time by integrating prebuilt models in TensorFlow Hub Make informed design choices about data ingestion, training paradigms, model saving, and inferencing Address common scenarios such as model design style, data ingestion workflow, model training, and tuning

Learning Python

If you want to write high-quality, efficient code that's easily integrated with other languages and tools, this hands-on book will help you be productive with Python quickly -- whether you're new to programming or just new to Python.

Author: Mark Lutz

Publisher: O'Reilly Media, Incorporated

ISBN: 9780596158064

Category: Computers

Page: 1214

View: 700

Google and YouTube use Python because it's highly adaptable, easy to maintain, and allows for rapid development. If you want to write high-quality, efficient code that's easily integrated with other languages and tools, this hands-on book will help you be productive with Python quickly -- whether you're new to programming or just new to Python. It's an easy-to-follow self-paced tutorial, based on author and Python expert Mark Lutz's popular training course. Each chapter contains a stand-alone lesson on a key component of the language, and includes a unique Test Your Knowledge section with practical exercises and quizzes, so you can practice new skills and test your understanding as you go. You'll find lots of annotated examples and illustrations to help you get started with Python 3.0. Learn about Python's major built-in object types, such as numbers, lists, and dictionaries Create and process objects using Python statements, and learn Python's general syntax model Structure and reuse code using functions, Python's basic procedural tool Learn about Python modules: packages of statements, functions, and other tools, organized into larger components Discover Python's object-oriented programming tool for structuring code Learn about the exception-handling model, and development tools for writing larger programs Explore advanced Python tools including decorators, descriptors, metaclasses, and Unicode processing

Machine Learning Die Referenz

Das praktische Nachschlagewerk zum Machine Learning mit strukturierten Daten.

Author: Matt Harrison

Publisher:

ISBN:

Category:

Page: 246

View: 676

Das praktische Nachschlagewerk zum Machine Learning mit strukturierten Daten.

vi Editor Pocket Reference

This small book is a handy reference guide to the information in the larger volume, presenting movement and editing commands, the command-line options, and other elements of the vi editor in an easy-to-use tabular format.

Author: Arnold Robbins

Publisher: O'Reilly Media

ISBN: 9781565924970

Category: Computers

Page: 80

View: 679

For many users, working in the UNIX environment means using vi, a full-screen text editor available on most UNIX systems. Even those who know vi often make use of only a small number of its features. The vi Editor Pocket Reference is a companion volume to O'Reilly's updated sixth edition of Learning the vi Editor, a complete guide to text editing with vi. New topics in Learning the vi Editor include multi-screen editing and coverage of four vi clones: vim, elvis, nvi, and vile. This small book is a handy reference guide to the information in the larger volume, presenting movement and editing commands, the command-line options, and other elements of the vi editor in an easy-to-use tabular format.