Python is a programming language developed by, and first released by,
Guido van Rossum in
1991.
The Python language is released under the
Python Software Foundation License (PSFL)
which is a
permissiveopen source license,
and in its most recent revision is fully
compatible
with the
GPL.
Here are some books about Python:
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Product Description: If you are new to programming with Python and are looking for a solid introduction, this is the book for you. Developed by computer science instructors, books in the "for the absolute beginner" series teach the principles of programming through simple game creation. You will acquire the skills that you need for practical Python programming applications and will learn how these skills can be put to use in real-world scenarios. Throughout the chapters, you will find code samples that illustrate concepts presented. At the end of each chapter, you will find a complete game that demonstrates the key ideas in the chapter, a summary of the chapter, and a set of challenges that tests your newfound knowledge. By the time you finish this book, you'll be well versed in Python and be able to apply the basic programming principles you've learned to the next programming language you tackle.
Product Description: This is the second edition of John Zelle's Python Programming, updated for Python 3. This book is designed to be used as the primary textbook in a college-level first course in computing. It takes a fairly traditional approach, emphasizing problem solving, design, and programming as the core skills of computer science. However, these ideas are illustrated using a non-traditional language, namely Python. Although Python is used as the language, teaching Python is not the main point of this book. Rather, Python is used to illustrate fundamental principles of design and programming that apply in any language or computing environment. In some places, I have purposely avoided certain Python features and idioms that are not generally found in other languages. There are already many good books about Python on the market; this book is intended as an introduction to computing. Features include the following: *Extensive use of computer graphics. *Interesting examples. *Readable prose. *Flexible spiral coverage. *Just-in-time object coverage. *Extensive end-of-chapter problems.
Guzdial introduces programming as a way of creating and manipulating media—a context familiar and intriguing to today's readers. Starts readers with actual programming early on. Puts programming in a relevant context (Computing for Communications). Includes implementing Photoshop-like effects, reversing/splicing sounds, creating animations. Acknowledges that readers in this audience care about the Web; introduces HTML and covers writing programs that generate HTML. Uses the Web as a Data Source; shows readers how to read from files, but also how to write programs to directly read Web pages and distill information from there for use in other calculations, other Web pages, etc. (examples include temperature from a weather page, stock prices from a financials page). A comprehensive guide for anyone interested in learning the basics of programming with one of the best web languages, Python.
Product Description: With NEW Python 3.0! A user-friendly, object-oriented language, Python is quickly becoming the favorite introductory programming language among students and instructors. Many find Python to be a more lucid language than Java but with much of the functionality and therefore the ideal first language for those entering the world of Computer Science. Python Programming in Context is a clear, accessible introduction to the fundamental programming and problem solving concepts necessary for students at this level. The authors carefully build upon the many important computer science concepts and problem solving techniques throughout the text and offer relevant, real-world examples and exercises to reinforce key material. Programming skills throughout the text are linked to applied areas such as Image Processing, Cryptography, Astronomy, Music, the Internet, and Bioinformatics, giving students a well rounded look of its capabilities.
Once you've come to grips with the core Python language, learning how to build Python applications presents a far more interesting challenge. Tap this book's wealth of practical advice, snippets of code, and patterns of program design to take your Python skills to the next level.
You'll start with in-depth discussions of core concepts and then progress toward complete programs in different application domains, including:
GUI programming
Internet scripting
Parallel processing
Database management
Networked applications
System administration
Text processing
Most programming experts consider this classic book, now updated for Python 3.x, to be the industry standard for learning Python application programming. With clear and concise explanations of Python syntax and programming techniques, and numerous examples that illustrate both correct usage and common idioms, Programming Python shows you the right way to code with Python.
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Product Description:
A Fully Revised Edition Featuring New Material on Coroutines, Debugging, Testing, Parsing, String Formatting, and More
Python 3 is the best version of the language yet: It is more powerful, convenient, consistent, and expressive than ever before. Now, leading Python programmer Mark Summerfield demonstrates how to write code that takes full advantage of Python 3's features and idioms. Programming in Python 3, Second Edition, brings together all the knowledge you need to write any program, use any standard or third-party Python 3 library, and create new library modules of your own.
Summerfield draws on his many years of Python experience to share deep insights into Python 3 development you won't find anywhere else. He begins by illuminating Python's "beautiful heart": the eight key elements of Python you need to write robust, high-performance programs. Building on these core elements, he introduces new topics designed to strengthen your practical expertise-one concept and hands-on example at a time. Coverage includes
Developing in Python using procedural, objectoriented, and functional programming paradigms
Creating custom packages and modules
Writing and reading binary, text, and XML files, including optional compression, random access, and text and XML parsing
Leveraging advanced data types, collections, control structures, and functions
Spreading program workloads across multiple processes and threads
Programming SQL databases and key--value DBM files
Debugging techniques-and using Test Driven Development to avoid bugs in the first place
Utilizing Python's regular expression mini-language and module
Parsing techniques, including how to use the third-party PyParsing and PLY modules
Building usable, efficient, GUI-based applications
Advanced programming techniques, including generators, function and class decorators, context managers, descriptors, abstract base classes, metaclasses, coroutines, and more
Programming in Python 3, Second Edition, serves as both tutorial and language reference. It assumes some prior programming experience, and is accompanied by extensive downloadable example code-all of it tested with Python 3 on Windows, Linux, and Mac OS X. This edition covers Python 3.0 and 3.1, and due to the Python language moratorium it is also valid for Python 3.2 which has the same language as Python 3.1. (edited by author)
Computers are used in every part of science from ecology to particle physics. This introduction to computer science continually reinforces those ties by using real-world science problems as examples. Anyone who has taken a high school science class will be able to follow along as the book introduces the basics of programming, then goes on to show readers how to work with databases, download data from the web automatically, build graphical interfaces, and most importantly, how to think like a professional programmer.
Topics covered include:
Basic elements of programming from arithmetic to loops and if statements.
Using functions and modules to organize programs.
Using lists, sets, and dictionaries to organize data.
Designing algorithms systematically.
Debugging things when they go wrong.
Creating and querying databases.
Building graphical interfaces to make programs easier to use.
Object-oriented programming and programming patterns.
The Insider's Best-Practice Guide to Rapid PyQt 4 GUI Development
Whether you're building GUI prototypes or full-fledged cross-platform GUI applications with native look-and-feel, PyQt 4 is your fastest, easiest, most powerful solution. Qt expert Mark Summerfield has written the definitive best-practice guide to PyQt 4 development.
With Rapid GUI Programming with Python and Qt you'll learn how to build efficient GUI applications that run on all major operating systems, including Windows, Mac OS X, Linux, and many versions of Unix, using the same source code for all of them. Summerfield systematically introduces every core GUI development technique: from dialogs and windows to data handling; from events to printing; and more. Through the book's realistic examples you'll discover a completely new PyQt 4-based programming approach, as well as coverage of many new topics, from PyQt 4's rich text engine to advanced model/view and graphics/view programming. Every key concept is illuminated with realistic, downloadable examples—all tested on Windows, Mac OS X, and Linux with Python 2.5, Qt 4.2, and PyQt 4.2, and on Windows and Linux with Qt 4.3 and PyQt 4.3.
Coverge includes
Python basics for every PyQt developer: data types, data structures, control structures, classes, modules, and more
Core PyQt GUI programming techniques: dialogs, main windows, and custom file formats
Using Qt Designer to design user interfaces, and to implement and test dialogs, events, the Clipboard, and drag-and-drop
Building custom widgets: Widget Style Sheets, composite widgets, subclassing, and more
Making the most of Qt 4.2's new graphics/view architecture
Connecting to databases, executing SQL queries, and using form and table views
Advanced model/view programming: custom views, generic delegates, and more
Implementing online help, internationalizing applications, and using PyQt's networking and multithreading facilities
This book offers Python programmers one place to look when they need help remembering or deciphering the syntax of this open source language and its many powerful but scantily documented modules. This comprehensive reference guide makes it easy to look up the most frequently needed information--not just about the Python language itself, but also the most frequently used parts of the standard library and the most important third-party extensions.
Ask any Python aficionado and you'll hear that Python programmers have it all: an elegant object-oriented language with readable and maintainable syntax, that allows for easy integration with components in C, C++, Java, or C#, and an enormous collection of precoded standard library and third-party extension modules. Moreover, Python is easy to learn, yet powerful enough to take on the most ambitious programming challenges. But what Python programmers used to lack is a concise and clear reference resource, with the appropriate measure of guidance in how best to use Python's great power. Python in a Nutshell fills this need.
Python in a Nutshell, Second Edition covers more than the language itself; it also deals with the most frequently used parts of the standard library, and the most popular and important third party extensions. Revised and expanded for Python 2.5, this book now contains the gory details of Python's new subprocess module and breaking news about Microsoft's new IronPython project. Our "Nutshell" format fits Python perfectly by presenting the highlights of the most important modules and functions in its standard library, which cover over 90% of your practical programming needs. This book includes:
A fast-paced tutorial on the syntax of the Python language
An explanation of object-oriented programming in Python
Coverage of iterators, generators, exceptions, modules, packages, strings, and regular expressions
A quick reference for Python's built-in types and functions and key modules
Reference material on important third-party extensions, such as Numeric and Tkinter
Information about extending and embedding Python
Python in a Nutshell provides a solid, no-nonsense quick reference to information that programmers rely on the most. This book will immediately earn its place in any Python programmer's library.
Praise for the First Edition:
"In a nutshell, Python in a Nutshell serves one primary goal: to act as an immediately accessible goal for the Python language. True, you can get most of the same core information that is presented within the covers of this volume online, but this will invariably be broken into multiple files, and in all likelihood lacking the examples or the exact syntax description necessary to truly understand a command." --Richard Cobbett, Linux Format
"O'Reilly has several good books, of which Python in a Nutshell by Alex Martelli is probably the best for giving you some idea of what Python is about and how to do useful things with it." --Jerry Pournelle, Byte Magazine
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