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Python Pocket Reference

by Mark Lutz
Publisher: "O'Reilly Media, Inc."
Release Date: 2014-01-22
Genre: Computers
Pages: 264 pages
ISBN 13: 1449356982
ISBN 10: 9781449356989
Format: PDF, ePUB, MOBI, Audiobooks, Kindle

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Synopsis : Python Pocket Reference written by Mark Lutz, published by "O'Reilly Media, Inc." which was released on 2014-01-22. Download Python Pocket Reference Books now! Available in PDF, EPUB, Mobi Format. 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. -- 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.

RELATED BOOKS
Python Pocket Reference
Language: en
Pages: 264
Authors: Mark Lutz
Categories: Computers
Type: BOOK - Published: 2014-01-22 - Publisher: "O'Reilly Media, Inc."

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
Language: en
Pages: 124
Authors: Mark Lutz
Categories: Computers
Type: BOOK - Published: 2002 - Publisher: "O'Reilly Media, Inc."

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
Language: en
Pages: 266
Authors: Mark Lutz
Categories: Computers
Type: BOOK - Published: 2014-01-22 - Publisher: "O'Reilly Media, Inc."

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
Language: en
Pages:
Authors: Mark Lutz
Categories: Computers
Type: BOOK - Published: 2005 - Publisher:

Books about Python Pocket Reference
Python Pocket Reference, Third Edition
Language: en
Pages: 160
Authors: Mark Lutz
Categories: Computers
Type: BOOK - Published: 2005 - Publisher:

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 .
Generatives Deep Learning
Language: de
Pages: 310
Authors: David Foster
Categories: Computers
Type: BOOK - Published: 2020 - Publisher:

Generative Modelle haben sich zu einem der spannendsten Themenbereiche der Künstlichen Intelligenz entwickelt: Mit generativem Deep Learning ist es inzwischen möglich, einer Maschine das Malen, Schreiben oder auch das Komponieren von Musik beizubringen - kreative Fähigkeiten, die bisher dem Menschen vorbehalten waren. Mit diesem praxisnahen Buch können Data Scientists einige der eindrucksvollsten generativen Deep-Learning-Modelle nachbilden wie z.B. Generative Adversarial Networks (GANs), Variational Autoencoder (VAEs), Encoder-Decoder- sowie World-Modelle. David Foster veranschaulicht die Funktionsweise jeder Methode, beginnend mit den Grundlagen des Deep Learning mit Keras, bevor er zu einigen der modernsten Algorithmen auf diesem Gebiet vorstößt. Die zahlreichen praktischen Beispiele und Tipps helfen dem Leser herauszufinden, wie seine Modelle noch effizienter lernen und noch kreativer werden können.
Python Pocket Reference, 4/E (Covers Python 3 X & 2.6)
Language: en
Pages: 148
Authors: Mark Lutz
Categories: Python (Computer program language)
Type: BOOK - Published: 2005 - Publisher:

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 and XML
Language: en
Pages: 360
Authors: Christopher A. Jones, Fred L. Drake
Categories: Computers
Type: BOOK - Published: 2002 - Publisher: "O'Reilly Media, Inc."

This book has two objectives--to provide a comprehensive reference on using XML with Python; and to illustrate the practical applications of these technologies in an enterprise environment with examples.
Machine Learning Pocket Reference
Language: en
Pages: 320
Authors: Matt Harrison
Categories: Computers
Type: BOOK - Published: 2019-08-27 - Publisher: O'Reilly Media

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
Regular Expression Pocket Reference
Language: en
Pages: 117
Authors: Tony Stubblebine
Categories: Computers
Type: BOOK - Published: 2007-09-19 - Publisher: "O'Reilly Media, Inc."

A guide to the syntax and semantics of regular expressions for Perl 5.8, Ruby, Java, PHP, C#, .NET, Python, JavaScript, and PCRE.
Neuronale Netze Selbst Programmieren
Language: de
Pages: 232
Authors: Tariq Rashid
Categories: Computers
Type: BOOK - Published: 2017 - Publisher:

Neuronale Netze sind Schlüsselelemente des Deep Learning und der Künstlichen Intelligenz, die heute zu Erstaunlichem in der Lage sind. Dennoch verstehen nur wenige, wie Neuronale Netze tatsächlich funktionieren. Dieses Buch nimmt Sie mit auf eine unterhaltsame Reise, die mit ganz einfachen Ideen beginnt und Ihnen Schritt für Schritt zeigt, wie Neuronale Netze arbeiten. Dafür brauchen Sie keine tieferen Mathematik-Kenntnisse, denn alle mathematischen Konzepte werden behutsam und mit vielen Illustrationen erläutert. Dann geht es in die Praxis: Sie programmieren Ihr eigenes Neuronales Netz mit Python und bringen ihm bei, handgeschriebene Zahlen zu erkennen, bis es eine Performance wie ein professionell entwickeltes Netz erreicht. Zum Schluss lassen Sie das Netz noch auf einem Raspberry Pi Zero laufen. - Tariq Rashid hat eine besondere Fähigkeit, schwierige Konzepte verständlich zu erklären, dadurch werden Neuronale Netze für jeden Interessierten zugänglich und praktisch nachvollziehbar.
Python in 24 Hours, Sams Teach Yourself
Language: en
Pages: 320
Authors: Katie Cunningham
Categories: Computers
Type: BOOK - Published: 2013-09-10 - Publisher: Sams Publishing

In just 24 sessions of one hour or less, Sams Teach Yourself Python in 24 Hours will help you get started fast, master all the core concepts of programming, and build anything from websites to games. Using this book’s straightforward, step-by-step approach, you’ll move from the absolute basics through functions, objects, classes, modules, database integration, and more. Every lesson and case study application builds on what you’ve already learned, giving you a rock-solid foundation for real-world success! Step-by-step instructions carefully walk you through the most common Python development tasks. Quizzes and Exercises at the end of each chapter help you test your knowledge. Notes present interesting information related to the discussion. Tips offer advice or show you easier ways to perform tasks. Warnings alert you to possible problems and give you advice on how to avoid them. Learn how to… Install and run the right version of Python for your operating system Store, manipulate, reformat, combine, and organize information Create logic to control how programs run and what they do Interact with users or other programs, wherever they are Save time and improve reliability by creating reusable functions Master Python data types: numbers, text, lists, and dictionaries Write object-oriented programs that work better and are easier to improve Expand Python classes to make them even more powerful Use third-party modules to perform complex tasks without writing new code Split programs to make them more maintainable and reusable Clearly document your code so others can work with it Store data in SQLite databases, write queries, and share data via JSON Simplify Python web development with the Flask framework Quickly program Python games with PyGame Avoid, troubleshoot, and fix problems with your code