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The books on this page are all general introductions to the Python language. Most of these books will contain a few chapters on particular applications such as GUI interfaces or Web programming, but won't go into great detail on any one topic; refer to the PythonBooks page for lists of application-specific books. Experienced programmers who prefer a brief and condensed introduction should look at the list of ReferenceBooks.


Programming in Python 3: A Complete Introduction to the Python Language by Mark Summerfield

This book teaches you how to write programs using Python 3 in good Python 3 style.

The book will be useful to people who program professionally as part of their job, whether as full-time software developers, or those from other disciplines, including scientists and engineers, who need to do some programming in support of their work. It will also prove ideal for those Python 2 programmers who need to migrate (or prepare to migrate) to Python 3. The book is also suitable for students—the only prerequisite is some basic knowledge of programming in any language, for example, Basic or Java, or of course Python itself.

The book teaches solid procedural style programming, then builds on that to teach solid object-oriented programming, and then goes on to more advanced topics such as descriptors and class decorators. But even newcomers to Python 3 should be able to write useful (although small and basic) programs after reading chapter 1, and then go on to create larger and more sophisticated programs as they work through the chapters.

The book's web site lists the table of contents and has links to extracts. It also has all the examples and exercise solutions available for download.


"Beginning Python: From Novice to Professional, Second Edition" Magnus Lie Hetland

ISBN13: 978-1-59059-982-2 Apress Inc, 688 pages (September 2008)

Gain a fundamental understanding of Python’s syntax and features with the second edition of Beginning Python, an up–to–date introduction and practical reference. Covering a wide array of Python–related programming topics, including addressing language internals, database integration, network programming, and web services, you’ll be guided by sound development principles. Ten accompanying projects will ensure you can get your hands dirty in no time.

Updated to reflect the latest in Python programming paradigms and several of the most crucial features found in the forthcoming Python 3.0 (otherwise known as Python 3000), advanced topics, such as extending Python and packaging/distributing Python applications, are also covered.

Home Page (includes electronic version)


"Object-Oriented Programming in Python" Michael Goldwasser, David Letscher

ISBN: 0136150314 Prentice Hall Publishing 688 pages (October 2007)


An Introduction to Python (version 2.5)

0954161769, Network Theory Ltd, 164 pages (November 2006)

This is a printed edition of the official Python tutorial by Guido van Rossum. For each copy sold $1 will be donated to the Python Software Foundation.

Home Page (includes electronic version)


Python for Dummies (version 2.5)

0471778648, For Dummies, 410 pages (August 2006)

Home Page

Following the usual Dummies style, this book takes a light-hearted approach to introducing Python. In addition to Python itself, Python for Dummies also gives lots of advice about good programming practices.


Introduction to Computing and Programming Using Python: A Multimedia Approach Mark Guzdial

ISBN: 0131176552 http://coweb.cc.gatech.edu/mediaComp-teach

An introduction to programming by manipulating digital media --- creating negatives and grayscale pictures, splicing sounds, implementing chromakey.


Core Python Programming

ISBN: 0132269937 (2nd ed.); 0130260363 (1st ed.)

Prentice Hall PTR / Pearson Education

~1120 pages (Sep 2006); 810 pages (Jan 2001)

The main goal of this book is comprehensively teaching you the core of the Python language, much more than just its syntax (which you don't really need a book to learn, right?). Knowing more about how Python works under the covers, including the relationship between data objects and memory management, will make you a much more effective Python programmer coming out of the gate. The advanced topics chapters are meant as complete intros or "quick dives" into each of those distinct subjects. However, if moving towards those specific areas of development, they are more than enough to get you pointed in the right direction. We would say that the book is 40% introductory, 40% intermediate (in-depth core Python material plus advanced topics chapters), and 20% reference -- it is *not* meant to be a substitute for a pure reference such as the Python Essential Reference or Python in a Nutshell.

The new 2nd edition is expanded (300 new pages!) and updated through Python 2.5 as well as confirmed functionality for future versions! Also added are a few new chapters of advanced material. As in the 1st edition, a plethora of easy to advanced exercises can be found at the end of every chapter to hammer the concepts home. At the moment, this is the most complete and up-to-date Python book on the market today.

From an anonymous reviewer: "Very well written. It is the clearest, friendliest book I have come across yet for explaining Python, and putting it in a wider context. It does not presume a large amount of other experience. It may be too slow for more advanced people, but it does go into some important Python topics carefully and in depth. Unlike too many beginner books, it never condescends or tortures the reader with childish hide-and-seek prose games. Not too many in-depth real-world examples in the book (hopefully he will do a followup volume), it sticks to gaining a solid grasp of Python syntax and structure."

Home Page (includes book reviews, errata, sample chapter, links to alternate editions, source code from the book, and more!)

Links regarding the 1st edition: IBM Developer Works review Linux Journal review Chinese edition O'Reilly Safari electronic edition Indian edition (English) Korean edition Association of C/C++ Users review Python Learning Foundation review Mississippi Python users group (Useless Python) review


Python Programming: An Introduction to Computer Science

1887902996, Franklin Beedle & Associates, December 2003

This is a textbook for a "traditional" introduction to computer science course (CS1) using Python.

Home Page


How to Think Like a Computer Scientist: Learning with Python

0971677506, Green Tea Press 288 pages

How to Think... is a free textbook available under the GNU Free Documentation License. It is a true beginners book. The ebook version is free and available in PDF, HTML and PostScript.

Home Page


Dive Into Python: Python for Experienced Programmers

1590593561, Apress 432 pages

Dive Into Python is a free Python ebook for experienced programmers available under the GNU Free Documentation License. A printed version has been published by Apress http://www.apress.com/, and is available through all major outlets.

Home Page


Learning Python

0596513984 O'Reilly & Associates, 701 pages (October 2007)

Learning Python is meant for beginning Python programmers, and others seeking a quick introduction to the language. It focuses on core language fundamentals in depth, is based on Mark Lutz's Python training classes, and includes numerous exercises with solutions to guide the reader through a hands-on learning experience.

O'Reilly's catalog page Author's book page Sample chapters Review of first edition by Phil Hughes in Linux Journal


The Quick Python Book

1884777740, Manning Publications, 275 pages (October 1999)

A clear and concise description of Python aimed at readers who are already familiar with programming in at least one other language.

Two sample chapters Review by Francis Glassborow in _C Vu_ Review by Phil Hughes Review by AMK


Learn to Program Using Python

0201709384, Addison-Wesley, 270 pages (December, 2000)

This book teaches programming in Python to true beginners. It started as a popular Web tutorial, and been expanded into a complete book.

Home Page


Programming Python (Third Edition)

0596009259, O'Reilly & Associates, 1596 pages (August, 2006)

A Python classic, updated and expanded to cover Python 2.5. The first edition, published in 1996, was the first Python book project to be signed. Programming Python is about what you can do with Python after you've mastered the language fundamentals - it assumes you already know the core language, and focuses on applications programming in gradual tutorial fashion. It is designed to be a natural follow-up to the book Learning Python. This book includes 300 pages on GUIs, 500 on Internet programming, and more on databases, systems programming, text processing, Python/C integration, and other topics. Also available in PDF form from O'Reilly.

O'Reilly's catalog page Author's book page Foreword by Guido van Rossum Review of the first edition by Greg Wilson Review of the first edition by Terry Rooker in ;login: Review of the first edition by Danny Yee


Python Pocket Reference (Third Edition)

0596009402, O'Reilly & Associates, 160 pages (February, 2005)

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


Python Standard Library

0596000960, O'Reilly & Associates, 250 pages (February 2001)

Based in part on 3,000 newsgroup articles written by Python veteran FredrikLundh over the last four and half years, this book provides sample scripts for all standard modules in the Python library. Also available in German.

Author's book page Electronic edition


Web Programming in Python: Techniques for Integrating Linux, Apache, and MySQL

0130410659, Prentice Hall, 450 pages (October 2001)

The book has introductory chapters on Python, networking, Apache, Linux, and MySQL. It is a self- contained reference to Python and open-source programming that makes use of Python to develop real applications that are also available under an open source license.


Programming With Python

0761523340, Prima Publishing, (October 1999)

Review by Phil Hughes in Linux Journal Review by Cary Miller


Python Developer's Handbook

0672319942, Sams, 600 pages (December 2000)


Python How to Program

0130923613, Prentice Hall, 1376 pages (2002)

In the renowned Deitel series "How to Program"

description


Text Processing in Python

The free text is available at:

http://gnosis.cx/TPiP/

Buy the dead-trees version at:

http://tinyurl.com/jskh

A review by Danny Yee at: http://dannyreviews.com/h/Text_Python.html

See also: TextProcessingInPython


Python Programming Patterns Thomas Christopher

Prentice-Hall, 2001

ISBN: 0130409561

There's a sample chapter at informIT

Reviews: ACCU review by Francis Glasborow; one of several books in Mertz's book roundup #3


Python Programming for the absolute beginner

1592000738 Premier Press, 456 pages (2003)

Simple intro accessible for middle school age and up. Very hands-on and fun.

Publisher's page


A Byte of Python

A Byte of Python is a book on programming using the Python language. It serves as a tutorial or guide to the Python language for anyone. If all you know is how to save text files, then you can learn Python using this book. If you are an expert programmer who loves C, Perl, Java or C#, you can also learn Python using this book.

This book can be read online or downloaded from http://www.byteofpython.info/


Practical Python

1590590066, 619 pages, APress (August 2002)

The first half of this book introduces the Python language, and the second half demonstrates its usage in various practical projects such as "automated document conversion, newsgroup administration, graphical PDF document generation, remote document maintenance, the creation of a peer-to-peer system with XML-RPC, database integration, and GUI and game development." A new edition of this book is available under the title Beginning Python: From Novice to Professional.

Publisher's page


Beginning Python: From Novice to Professional

1-59059-519-x, 640 pages, APress (September 2005)

This is an update of Practical Python.

Publisher's page


Computer Programming is Fun!

208 pages, Handy Software and Publishing (April 2005)

Written by a homeschooling Dad for teenage youth, this introductory computer programming book is for people who have no prior programming experience. Teaches the basic principles of programming using Python, with lots of examples. Small video game project at the end. Good for self-study or classroom use.

http://www.handysoftware.com/cpif/


Problem Solving with Algorithms and Data Structures

1590280539, Franklin Beedle & Associates, December 2005

This is a textbook for a CS2 Data Structures Course.

Home Page


Python First: Introduction to Computing with Python

Atanas Radenski

The 'Python First' digital pack provides a gentle introduction to computer science. It is more than a book: Ten self-contained online chapters consist of e-texts (66,000 words), 730 slides, 62 labs (36,000 words), 58 sample programs, and 10 quizzes (280 questions). The 'Python First' pack includes a wealth of detailed self-guided labs that you can complete on your own.

Home Page


Python Programming language

Adil Aliev

Quick and short browse of Python programming language. There are basic syntax of Python, sample programs and their explaintations, about Qt and introduction to create QtApplications on Python. This documantation was created as a Course work at Baku State University.

PDF file, free for download.

Download


Python First: The Joy of Success

Atanas Radenski

ISBN: 978159526-713-9, 512 pages, Llumina Press, April 2007

This book is a paper companion to the "Python First" digital pack from studypack.com. The complete digital study pack features e-texts, slides, a wealth of detailed self-guided labs that learners can complete on their own, sample programs, and extensive quizzes. The book offers a printed version of the e-texts and self-guided labs in the same format as they appear in the online digital pack.

Publisher's page


Building Skills in Python

Steven F. Lott

How do you learn Python? By doing a series of exercises, each of which adds a single new feature of the language. This 250+ page book has 31 chapters that will help you build Python programming skills through a series of exercises. This book includes six projects from straight-forward to sophisticated that will help solidify your Python skills.

http://homepage.mac.com/s_lott/books/python.html


Building Skills in Programming How To Write Your Own Software Using Python

Steven F. Lott

How do you learn to solve your own programs by writing programs? By doing a series of exercises, each of which builds up a part of the skill set we call "computer programming". This book has 54 chapters that will help you build basic programming skills through a series of exercises that grow from simple identification of the parts of your computer through to statistical simulations.

http://homepage.mac.com/s_lott/books/nonprogrammer.html


Building Skills in Object-Oriented Design

Steven F. Lott

How do you move from OO programming to OO design? Do a lot of design focused on building a sophisticated application program. This 269-page book has 43 chapters that will help you build OO design skills through the creation of a moderately complex family of application programs. This is a step-by-step guide to OO design and implementation using either the Java or Python programming languages.

http://homepage.mac.com/s_lott/books/oodesign.html


Python Programming in Context

Bradley N. Miller and David L Ranum

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.

http://www.jbpub.com/catalog/9780763746025/



How Would Pareto Learn(tm) Python!

Rahul Verma

"How Would Pareto Learn(TM)" is an effort to apply Pareto's principle to learning efforts - "Concentrate FIRST on those 20% things which are essential 80% of the times and then learn further". The target outcome is light-weight tutorials, which make one quickly get into programming mode, rather than sticking to excessive theoretical stuff. When one starts writing programs, the practical problems make learning more interesting. After reaching this mode, there are plenty of books and tutorials where you can find specific details. "How Would Pareto Learn(TM)"-series bridges the gap between very basic tutorials and comprehensive books.

How Would Pareto Learn(tm) Python! is the first in this series and has got encouraging feedback so far. One can read the book online in its present state at the following link:

http://www.testingperspective.com/tpwiki/doku.php?id=rverma:hwpl:intro

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