Python Pocket Reference

2014-01-22 Computers

Author : Mark Lutz
Release : 2014-01-22
Genre : Computers
Kind : eBook
Book Rating : 94X/5 ( reviews)

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Book Synopsis Python Pocket Reference by : Mark Lutz

Download or read book Python Pocket Reference written by Mark Lutz. This book was released on 2014-01-22. 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. 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

Machine Learning Pocket Reference

2019-08-27 Computers

Author : Matt Harrison
Release : 2019-08-27
Genre : Computers
Kind : eBook
Book Rating : 49X/5 ( reviews)

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Book Synopsis Machine Learning Pocket Reference by : Matt Harrison

Download or read book Machine Learning Pocket Reference written by Matt Harrison. This book was released on 2019-08-27. 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

2005-02-24 Computers

Author : Mark Lutz
Release : 2005-02-24
Genre : Computers
Kind : eBook
Book Rating : 402/5 ( reviews)

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Book Synopsis Python Pocket Reference by : Mark Lutz

Download or read book Python Pocket Reference written by Mark Lutz. This book was released on 2005-02-24. 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

2002 Computer programs

Author : Mark Lutz
Release : 2002
Genre : Computer programs
Kind : eBook
Book Rating : 896/5 ( reviews)

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Book Synopsis Python Pocket Reference by : Mark Lutz

Download or read book Python Pocket Reference written by Mark Lutz. This book was released on 2002. 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.

Learning Python

2013-06-12 Computers

Author : Mark Lutz
Release : 2013-06-12
Genre : Computers
Kind : eBook
Book Rating : 692/5 ( reviews)

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Book Synopsis Learning Python by : Mark Lutz

Download or read book Learning Python written by Mark Lutz. This book was released on 2013-06-12. Available in PDF, EPUB and Kindle. Book excerpt: Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. 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. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code. Explore Python’s major built-in object types such as numbers, lists, and dictionaries Create and process objects with Python statements, and learn Python’s general syntax model Use functions to avoid code redundancy and package code for reuse Organize statements, functions, and other tools into larger components with modules Dive into classes: Python’s object-oriented programming tool for structuring code Write large programs with Python’s exception-handling model and development tools Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing

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