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转:20本最好的免费Python电子书



  • 原文链接:http://www.linuxlinks.com/article/20121228122317781/20oftheBestFreePythonBooks-Part1.html

    20 of the Best Free Python Books
    Individuals wanting to learn about the Python programming language have a wide variety of books to read. There are many hundreds of informative Python books that are in-print and available to download or buy at reasonable cost. Given that Python is an open-source programming language, some developers will want this extended to the documentation they read.

    Python is a high-level, general-purpose, structured, powerful, open source programming language that is used for a wide variety of programming tasks. It features a fully dynamic type system and automatic memory management, similar to that of Scheme, Ruby, Perl, and Tcl, avoiding many of the complexities and overheads of compiled languages. The language was created by Guido van Rossum in 1991, and continues to grow in popularity.

    Python is used as a scripting language for web applications, embedded in software products as a scripting language, used in artifical intelligence tasks, and for system administration tasks. It is a simple and powerful language, perfectly suited for beginners and professional programmers alike.

    The focus of this article is to select some of the finest Python books which are available to download for free. The vast majority of the books featured here can also be freely distributed to others.

    To cater for all tastes, we have chosen a wide range of books, encompassing general introductions to Python, books that help you develop games, introduce kids to the world of programming, and build Python programming skills. All of the texts here come with our strongest recommendation. So get reading (and downloading).

    1. Think Python

    Website www.greenteapress.com/thinkpython/thinkpython.html
    Author Allen B. Downey
    Format PDF, Postscript, LaTeX, HTML EPUB
    Pages 234

    Think Python is a concise and gentle introduction to software design using the Python programming language. Intended for would-be developers with no programming experience. This book starts with the most basic concepts and gradually adds new material at a pace that is comfortable to the reader.

    This book providing a wealth of information on:

    Variables, expressions and statements
    Functions
    Conditionals and recursion
    Fruitful functions
    Interation
    Strings
    Lists
    Dictionaries
    Tuples - ordered list of elements
    Files
    Classes and objects / Classes and functions / Classes and methods
    Inheritance
    Case studies on interface design, word play, data structure selection, and Tkinter
    It is available under the Creative Commons Attribution-NonCommercial 3.0 Unported License.

    2. Invent Your Own Computer Games with Python

      Website inventwithpython.com
    Author Albert Sweigart
    Format PDF
    Pages 436

    Invent Your Own Computer Games with Python teaches you computer programming in the Python programming language. Each chapter gives you the complete source code for a new game and teaches the programming concepts from these examples.

    The book is available under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 license. Invent with Python was written to be understandable by kids as young as 10 to 12 years old, although it is suitable for any age.

    This second edition has revised and expanded content, including using the Pygame library to make games with graphics, animation, and sound.

    The book focuses on three different areas:

    Series of tutorials ranging from a simple "guess the number" game, to drawing game boards with ASCII art, reversi, and simple artifical intelligence simulation
    Make the design for a Hangman game
    Learn new methods and functions that come with Python
    Simple mathematical concepts including cartesian coordinate systems, X-axis and Y-axis, the commutative property of addition, and absolute values and the abs () function
    Use the Pygame library to make games with graphics, animation, mouse input, and sound
    Make graphical user interface programs that have graphics and can accept input from the keyboard and mouse

    3. Snake Wrangling for Kids

    Website www.briggs.net.nz/snake-wrangling-for-kids.html
    Author Jason R. Briggs
    Format PDF
    Pages 150

    Snake Wrangling for Kids is a printable electronic book, for children 8 years and older, who would like to learn computer programming. It covers the very basics of programming, and uses the Python 3 programming language to teach the concepts.

    There are 3 different versions of the free book (one for Mac, one for Linux and one for Windows). There have been around 50,000 downloads, as of 2012. It has been rewritten and updated, with new chapters (including developing graphical games), and new code examples

    This version is licensed under the Creative Commons license.

    Use fundamental data structures like lists, tuples, and maps
    Organize and reuse your code with functions and modules
    Use control structures like loops and conditional statements
    Draw shapes and patterns with Python's turtle module
    Create games, animations, and other graphical wonders with Tkinter



    4. Learn Python the Hard Way, 2nd Edition

    Website learnpythonthehardway.org
    Author Zed Shaw
    Format HTML
    Pages 183

    This simple book is meant to give you a first start in programming.

    The title says it is the hard way to learn to write code but it is actually not. It is the hard way only in that it is the way people used to teach things. In this book you will do something incredibly simple that all programmers actually do to learn a language.

    This is a very beginner book for people who want to learn to code. If you can already code then look elsewhere. It is targeted for newbies to build up their skills before starting a more detailed book. The 2nd Edition features 5 new exercises, fixes and updates to nearly every exercise, and three of the new exercises teach you to create a simple web application as the final part of the book.

    The book consists of:

    52 Exercises which consist of typing code samples. This helps budding Python programmers to learn the names of the symbols, become familiar with typing them, and reading the language
    Exercises cover topics such as: Variables, printing, functions, boolean algebra, branches and functions, automated testing, and starting your own game



    5. Natural Language Processing with Python

    Website nltk.org/book/
    Author Steven Bird, Ewan Klein, and Edward Loper
    Format PDF, Ebook, HTML
    Pages 504

    Natural Language Processing with Python - Analyzing Text with the Natural Language Toolkit offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. Learn how to write Python programs that work with large collections of unstructured text. Access richly annotated datasets using a comprehensive range of linguistic data structures, and understand the main algorithms for analyzing the content and structure of written communication.

    This book is made available under the terms of the Creative Commons Attribution Noncommercial No-Derivative-Works 3.0 US License.

    This book helps to:

    Extract information from unstructured text, either to guess the topic or identify "named entities"
    Analyze linguistic structure in text, including parsing and semantic analysis
    Access popular linguistic databases, including WordNet and treebanks
    Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence

    6. Building Skills in Python

    Website www.itmaybeahack.com/homepage/books/python.html
    Author Steven F. Lott
    Format PDF, HTML
    Pages 574

    This 47 chapter book will help you build Python programming skills through a series of exercises. It includes six projects from straightforward to sophisticated that will help solidify your Python skills.

    This book is a close-to-complete presentation of the Python language, updated to cover Python 2.6 and some elements of Python 3.1. It is oriented toward learning, which involves accumulating many closely intertwined concepts. This book is primarily targeted at professional programmers.

    The book explores a wide range of topics including:

    Numeric Expressions and Output
    Advanced Expressions
    Variables, Assignment and Input
    Truth, Comparison and Conditional Processing
    Loops and Iterative Procssing
    Functions
    This book is made available under a Creative Commons Attribution-Noncommercial-No Derivative Works License.

    7. Dive into Python

    Website www.diveintopython.net
    Author Mark Pilgrim
    Format PDF, HTML, Word 97, Plain Text, HTML (single file), XML, Build scripts

    Pages 327


    Dive Into Python is a hands-on guide to the Python language. Each chapter starts with a real, complete code sample, proceeds to pick it apart and explain the pieces, and then puts it all back together in a summary at the end.

    Explores:

    Native Datatypes
    The Power of Introspection
    Objects and Object-Orientation
    Exceptions and File Handling
    Regular Expressions
    HTML Processing
    XML Processing
    Scripts and Streams
    HTTP Web Services
    SOAP Web Services
    Unit Testing
    Refactoring
    Functional Programming
    Dynamic Functions
    Performance Tuning
    This book is licensed under the terms of the GNU Free Documentation License, Version 1.1 or any later version.

    8. Text Processing in Python


    Website gnosis.cx/TPiP/
    Author David Mertz

    Format Smart ASCII format

    Pages 544


    Text Processing in Python describes techniques for manipulation of text using the Python programming language. At the broadest level, text processing is simply taking textual information and doing something with it. This might be restructuring or reformatting it, extracting smaller bits of information from it, or performing calculations that depend on the text.

    Text processing is arguably what most programmers spend most of their time doing. Because Python is clear, expressive, and object-oriented it is a perfect language for doing text processing, even better than Perl. As the amount of data everywhere continues to increase, this is more and more of a challenge for programmers.

    This book is not a tutorial on Python. The author provides practical pointers and tips that emphasize efficent, flexible, and maintainable approaches to the text processing tasks that working programmers face daily.

    Text Processing in Python begins with an introduction to text processing and contains a quick Python tutorial to get you up to speed. It then delves into essential text processing subject areas, including string operations, regular expressions, parsers and state machines, and Internet tools and techniques. Appendixes cover such important topics as data compression and Unicode.

    This book is copyright to Addison Wesley but can be downloaded without charge.



    9. The Standard Python Library


    Website effbot.org/zone/librarybook-index.htm
    Author Fredrik Lundh

    Format PDF, Single chapter PDFs, HTML

    Pages 300


    The Standard Python Library is a guide for serious Python programmers. It offers accurate, author-tested documentation of all the modules in the Python 2.0 Library, together with over 300 annotated example scripts using the modules.

    The book has chapters on:

    Standard and Core Modules
    Threads and Processes
    Data Representation
    File Formats
    Mail and News Messages
    Network Protocols
    Internationalization
    Multimedia Modules
    Data Storage
    Tools and Utilities
    Platform Specific Modules
    Implementation Support Modules
    Other Modules
    This is an electronic edition which is based on the second edition published by O'Reilly in 2001.



    10. The Definitive Guide to Pylons

    Website pylonsbook.com/en/1.1/
    Author James Gardner 
    Format PDF, HTML

    Pages 568


    Pylons is a lightweight web framework built on standard Python tools that provides a robust environment for writing modern web applications. It is well known for its clean architecture and loosely coupled approach, both of which make web development fast, flexible, and easy.

    The Definitive Guide to Pylons teaches you everything you need to know about web development with Pylons - from how to create your first "Hello World!" application to how to use each of Pylons’ core tools including FormEncode, Mako, SQLAlchemy, and Routes to how to perform more advanced tasks such as testing, using Unicode, internationalizing your application, authenticating users, and more.

    It also helps developers make use of the software's built-in support for session management, web services, and Ajax.

    This book is made available under the terms of the GNU Free Documentation License, Version 1.2 or any later version.



  • 原文链接:http://www.linuxlinks.com/article/20121228122317781/20oftheBestFreePythonBooks-Part1.html

    20 of the Best Free Python Books
    Individuals wanting to learn about the Python programming language have a wide variety of books to read. There are many hundreds of informative Python books that are in-print and available to download or buy at reasonable cost. Given that Python is an open-source programming language, some developers will want this extended to the documentation they read.

    Python is a high-level, general-purpose, structured, powerful, open source programming language that is used for a wide variety of programming tasks. It features a fully dynamic type system and automatic memory management, similar to that of Scheme, Ruby, Perl, and Tcl, avoiding many of the complexities and overheads of compiled languages. The language was created by Guido van Rossum in 1991, and continues to grow in popularity.

    Python is used as a scripting language for web applications, embedded in software products as a scripting language, used in artifical intelligence tasks, and for system administration tasks. It is a simple and powerful language, perfectly suited for beginners and professional programmers alike.

    The focus of this article is to select some of the finest Python books which are available to download for free. The vast majority of the books featured here can also be freely distributed to others.

    To cater for all tastes, we have chosen a wide range of books, encompassing general introductions to Python, books that help you develop games, introduce kids to the world of programming, and build Python programming skills. All of the texts here come with our strongest recommendation. So get reading (and downloading).

    1. Think Python

    Website www.greenteapress.com/thinkpython/thinkpython.html
    Author Allen B. Downey
    Format PDF, Postscript, LaTeX, HTML EPUB
    Pages 234

    Think Python is a concise and gentle introduction to software design using the Python programming language. Intended for would-be developers with no programming experience. This book starts with the most basic concepts and gradually adds new material at a pace that is comfortable to the reader.

    This book providing a wealth of information on:

    Variables, expressions and statements
    Functions
    Conditionals and recursion
    Fruitful functions
    Interation
    Strings
    Lists
    Dictionaries
    Tuples - ordered list of elements
    Files
    Classes and objects / Classes and functions / Classes and methods
    Inheritance
    Case studies on interface design, word play, data structure selection, and Tkinter
    It is available under the Creative Commons Attribution-NonCommercial 3.0 Unported License.

    2. Invent Your Own Computer Games with Python

      Website inventwithpython.com
    Author Albert Sweigart
    Format PDF
    Pages 436

    Invent Your Own Computer Games with Python teaches you computer programming in the Python programming language. Each chapter gives you the complete source code for a new game and teaches the programming concepts from these examples.

    The book is available under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 license. Invent with Python was written to be understandable by kids as young as 10 to 12 years old, although it is suitable for any age.

    This second edition has revised and expanded content, including using the Pygame library to make games with graphics, animation, and sound.

    The book focuses on three different areas:

    Series of tutorials ranging from a simple "guess the number" game, to drawing game boards with ASCII art, reversi, and simple artifical intelligence simulation
    Make the design for a Hangman game
    Learn new methods and functions that come with Python
    Simple mathematical concepts including cartesian coordinate systems, X-axis and Y-axis, the commutative property of addition, and absolute values and the abs () function
    Use the Pygame library to make games with graphics, animation, mouse input, and sound
    Make graphical user interface programs that have graphics and can accept input from the keyboard and mouse

    3. Snake Wrangling for Kids

    Website www.briggs.net.nz/snake-wrangling-for-kids.html
    Author Jason R. Briggs
    Format PDF
    Pages 150

    Snake Wrangling for Kids is a printable electronic book, for children 8 years and older, who would like to learn computer programming. It covers the very basics of programming, and uses the Python 3 programming language to teach the concepts.

    There are 3 different versions of the free book (one for Mac, one for Linux and one for Windows). There have been around 50,000 downloads, as of 2012. It has been rewritten and updated, with new chapters (including developing graphical games), and new code examples

    This version is licensed under the Creative Commons license.

    Use fundamental data structures like lists, tuples, and maps
    Organize and reuse your code with functions and modules
    Use control structures like loops and conditional statements
    Draw shapes and patterns with Python's turtle module
    Create games, animations, and other graphical wonders with Tkinter



    4. Learn Python the Hard Way, 2nd Edition

    Website learnpythonthehardway.org
    Author Zed Shaw
    Format HTML
    Pages 183

    This simple book is meant to give you a first start in programming.

    The title says it is the hard way to learn to write code but it is actually not. It is the hard way only in that it is the way people used to teach things. In this book you will do something incredibly simple that all programmers actually do to learn a language.

    This is a very beginner book for people who want to learn to code. If you can already code then look elsewhere. It is targeted for newbies to build up their skills before starting a more detailed book. The 2nd Edition features 5 new exercises, fixes and updates to nearly every exercise, and three of the new exercises teach you to create a simple web application as the final part of the book.

    The book consists of:

    52 Exercises which consist of typing code samples. This helps budding Python programmers to learn the names of the symbols, become familiar with typing them, and reading the language
    Exercises cover topics such as: Variables, printing, functions, boolean algebra, branches and functions, automated testing, and starting your own game



    5. Natural Language Processing with Python

    Website nltk.org/book/
    Author Steven Bird, Ewan Klein, and Edward Loper
    Format PDF, Ebook, HTML
    Pages 504

    Natural Language Processing with Python - Analyzing Text with the Natural Language Toolkit offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. Learn how to write Python programs that work with large collections of unstructured text. Access richly annotated datasets using a comprehensive range of linguistic data structures, and understand the main algorithms for analyzing the content and structure of written communication.

    This book is made available under the terms of the Creative Commons Attribution Noncommercial No-Derivative-Works 3.0 US License.

    This book helps to:

    Extract information from unstructured text, either to guess the topic or identify "named entities"
    Analyze linguistic structure in text, including parsing and semantic analysis
    Access popular linguistic databases, including WordNet and treebanks
    Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence

    6. Building Skills in Python

    Website www.itmaybeahack.com/homepage/books/python.html
    Author Steven F. Lott
    Format PDF, HTML
    Pages 574

    This 47 chapter book will help you build Python programming skills through a series of exercises. It includes six projects from straightforward to sophisticated that will help solidify your Python skills.

    This book is a close-to-complete presentation of the Python language, updated to cover Python 2.6 and some elements of Python 3.1. It is oriented toward learning, which involves accumulating many closely intertwined concepts. This book is primarily targeted at professional programmers.

    The book explores a wide range of topics including:

    Numeric Expressions and Output
    Advanced Expressions
    Variables, Assignment and Input
    Truth, Comparison and Conditional Processing
    Loops and Iterative Procssing
    Functions
    This book is made available under a Creative Commons Attribution-Noncommercial-No Derivative Works License.

    7. Dive into Python

    Website www.diveintopython.net
    Author Mark Pilgrim
    Format PDF, HTML, Word 97, Plain Text, HTML (single file), XML, Build scripts

    Pages 327


    Dive Into Python is a hands-on guide to the Python language. Each chapter starts with a real, complete code sample, proceeds to pick it apart and explain the pieces, and then puts it all back together in a summary at the end.

    Explores:

    Native Datatypes
    The Power of Introspection
    Objects and Object-Orientation
    Exceptions and File Handling
    Regular Expressions
    HTML Processing
    XML Processing
    Scripts and Streams
    HTTP Web Services
    SOAP Web Services
    Unit Testing
    Refactoring
    Functional Programming
    Dynamic Functions
    Performance Tuning
    This book is licensed under the terms of the GNU Free Documentation License, Version 1.1 or any later version.

    8. Text Processing in Python


    Website gnosis.cx/TPiP/
    Author David Mertz

    Format Smart ASCII format

    Pages 544


    Text Processing in Python describes techniques for manipulation of text using the Python programming language. At the broadest level, text processing is simply taking textual information and doing something with it. This might be restructuring or reformatting it, extracting smaller bits of information from it, or performing calculations that depend on the text.

    Text processing is arguably what most programmers spend most of their time doing. Because Python is clear, expressive, and object-oriented it is a perfect language for doing text processing, even better than Perl. As the amount of data everywhere continues to increase, this is more and more of a challenge for programmers.

    This book is not a tutorial on Python. The author provides practical pointers and tips that emphasize efficent, flexible, and maintainable approaches to the text processing tasks that working programmers face daily.

    Text Processing in Python begins with an introduction to text processing and contains a quick Python tutorial to get you up to speed. It then delves into essential text processing subject areas, including string operations, regular expressions, parsers and state machines, and Internet tools and techniques. Appendixes cover such important topics as data compression and Unicode.

    This book is copyright to Addison Wesley but can be downloaded without charge.



    9. The Standard Python Library


    Website effbot.org/zone/librarybook-index.htm
    Author Fredrik Lundh

    Format PDF, Single chapter PDFs, HTML

    Pages 300


    The Standard Python Library is a guide for serious Python programmers. It offers accurate, author-tested documentation of all the modules in the Python 2.0 Library, together with over 300 annotated example scripts using the modules.

    The book has chapters on:

    Standard and Core Modules
    Threads and Processes
    Data Representation
    File Formats
    Mail and News Messages
    Network Protocols
    Internationalization
    Multimedia Modules
    Data Storage
    Tools and Utilities
    Platform Specific Modules
    Implementation Support Modules
    Other Modules
    This is an electronic edition which is based on the second edition published by O'Reilly in 2001.



    10. The Definitive Guide to Pylons

    Website pylonsbook.com/en/1.1/
    Author James Gardner 
    Format PDF, HTML

    Pages 568


    Pylons is a lightweight web framework built on standard Python tools that provides a robust environment for writing modern web applications. It is well known for its clean architecture and loosely coupled approach, both of which make web development fast, flexible, and easy.

    The Definitive Guide to Pylons teaches you everything you need to know about web development with Pylons - from how to create your first "Hello World!" application to how to use each of Pylons’ core tools including FormEncode, Mako, SQLAlchemy, and Routes to how to perform more advanced tasks such as testing, using Unicode, internationalizing your application, authenticating users, and more.

    It also helps developers make use of the software's built-in support for session management, web services, and Ajax.

    This book is made available under the terms of the GNU Free Documentation License, Version 1.2 or any later version.



    1. Making Games with Python & Pygame

      Website inventwithpython.com/pygame/index.html
      Author Al Sweigart

      Format PDF, HTML, Mobi

      Pages 365


      This book teaches you how to make graphical computer games in the Python programming language using the Pygame library. It is targeted at the intermediate programmer.

      The book features the source code to 11 games. Each chapter focuses on a single game program, explaining how different parts of the code work. The games are clones of classics such as Nibbles, Tetris, Simon, Bejeweled, Othello, Ink Spill, Connect Four, Flood It, and others. The programs are less than 600 lines long.

      The book and the programs are open source, and are available under a Creative Commons Attribution-Noncommercial-Share Alike license.

      12. Python Module of the Week

      Website www.doughellmann.com/PyMOTW/index.html
      Author Doug Hellmann 
      Format PDF, HTML

      Pages 953


      Python Module of the Week (PyMOTW) is a series of blog posts written by Doug Hellmann. It was started as a way to build the habit of writing something on a regular basis. The focus of the series is building a set of example code for the modules in the Python standard library.

      PyMOTW is a good source of documentation for Python modules.

      PyMOTW includes a command line program, motw, to make it easier to access the examples while you are developing.

      This work is made available under the terms of the Creative Commons Attribution-NonCommercial Share-alike 3.0 license.

      13. A Byte of Python

      Website www.swaroopch.com/notes/python/
      Author Swaroop C H

      Format PDF, HTML, Full source

      Pages 120


      A Byte of Python is a free book on programming using the Python language. It serves as a tutorial or guide to the Python language for a beginner audience.

      This book is written for the latest Python 3.

      This book is released under the Creative Commons Attribution-NonCommercial-ShareAlike License 3.0

      Topics covered include:

      Basics of Python
      Operators and Expressions
      Control Flow
      Functions
      Modules
      Data Structures
      Problem Solving
      Object Oriented Programming
      Input Output
      Exceptions
      Standard Library

      14. Think Complexity

      Website greenteapress.com/complexity/html/jndex.html
      Author Allen B. Downey
      Format PDF, HTML

      Pages 148


      This book is about data structures and algorithms, intermediate programming in Python, computational modeling and the philosophy of science:

      Topics covered include:

      Graphs including random and connected graphs
      Analysis of algorithms - the branch of computer science that considers the performance of algorithms
      Small world graphs
      Scale-free networks: Zipf's law, cumulative, continuous and Pareto distributions
      Cellular automata
      Game of Life
      Fractals
      Self-organized criticality
      Case studies



      15. Data Structures and Algorithms with Object-Oriented Design Patterns in Python

      Website www.brpreiss.com/books/opus7/html/book.html
      Author Bruno R. Preiss

      Format PDF (not available in the public domain), HTML

      Pages 557


      This book is about the fundamentals of data structures and algorithms - the basic elements from which large and complex software artifacts are built. To develop a solid understanding of a data structure requires three things:

      Learn how the information is arranged in the memory of the computer
      Become familar with the algorithms for manipulating the information contained in the data structure
      Understand the performance characteristics of the data structure so that when called upon to select a suitable data structure for a particular application
      This book also illustrates object-oriented design and it promotes the use of common, object-oriented design patterns. The algorithms and data structures in the book are presented in the Python programming language. Virtually all the data structures are presented in the context of a single class hierarchy.

      16. Programming Computer Vision with Python

      Website programmingcomputervision.com
      Author Jan Erik Solem

      Format PDF

      Pages 300


      This book gives a hands-on introduction to the underlying theory and algorithms of computer vision (images, videos, etc). It seeks to explain computer vision in simple terms, without becoming too embroiled in theory. You will learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python. There are complete code samples with accompanying explanations.

      The Python language compes with many powerful modules for handling images, mathematical computing and data mining.

      The final draft of the book is released under a Creative Commons license.

      Topics covered include:

      Learn techniques used in robot navigation, medical image analysis, and other computer vision applications
      Work with image mappings and transforms, such as texture warping and panorama creation
      Compute 3D reconstructions from several images of the same scene
      Organize images based on similarity or content, using clustering methods
      Build efficient image retrieval techniques to search for images based on visual content
      Use algorithms to classify image content and recognize objects
      Access the popular OpenCV library through a Python interface

      17. Python for you and me 0.2

      Website kushal.fedorapeople.org/book/
      Author Kushal Das

      Format PDF, HTML

      Pages 70


      This book is designed for newcomers to the Python programming language. It is released under the GNU Free Documentation License v1.2 or later.

      Topics covered include:

      Variables and Datatypes
      Operators and expressions
      Control flow
      Looping
      Data structures
      Strings
      Functions
      File handling
      Class
      Modules
      Collections module
      Virtual Python Environment builder

      18. Problem Solving with Algorithms and Data Structures using Python

      Website interactivepython.org/courselib/static/pythonds/index.html
      Author Bradley W. Miller and David L. Ranum
      Format HTML

      Pages 432


      This textbook is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum.

      The objectives of this book are:

      To review the ideas of computer science, programming, and problem-solving
      To understand abstraction and the role it plays in the problem-solving process
      To understand and implement the notion of an abstract data type
      To review the Python programming language
      Getting started with data
      Built-in atomic data types
      Built-in collection data types
      Input and output
      String formatting
      Control structures
      Exception handling
      Defining functions
      Object-oriented programming in Python
      Discussion questions
      Programming exercises

      19. The Art and Craft of Programming Python Edition

      Website beastie.cs.ua.edu/cs150/book/index.html
      Author John C. Lusth

      Format PDF, HTML

      Pages 115


      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 Python.

      Although Python is used as the language, teaching Python is not the focus 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, the author has deliberately 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.

      Topics covered include:

      Literals, Combining Literals
      Precedence and associativity
      Variables
      Assignment
      Conditionals
      Functions
      Input and output
      Scope
      Loops
      Lists
      Recursion
      Two-dimensional arrays

      20. Python Programming

      Website en.wikibooks.org/wiki/Python_Programming
      Author Many contributors
      Format PDF, HTML, eBook

      Pages 159


      This book describes Python, an open-source general-purpose interpreted programming language. It is licensed under Creative Commons Attribution-Share Alike 3.0 license.

      Topics covered include:

      Basic syntax, data types, numbers, strings, lists, dictionaries, sets, operators
      Flow control, functions, scoping, exceptions, input and output
      Modules, classes, metaclasses, regular expression
      GUI programming covering Tkinter, PyGTK, PyQt, wxPython, Dabo, pyFltk, and other toolkits
      Game programming in Python: 2D and 3D
      Sockets, Files
      Database programming
      Web page harvesting
      Threading
      Extending with C and C++
      WSGI web programming

      补充后面10本


  • 新人报道,学习第一贴,路很长,希望能坚持~~~不过我可没打算看完这20本。哈哈


  • 管理员

    一开始以为你说已经看完了。。 :D



  • 挑2本看就行了。


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