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Learning Python

Author: Mark Lutz; David Ascher
Publisher: Sebastopol, CA ; Farnham : O'Reilly, [2003, ©2004]
Edition/Format:   eBook : Document : English : 2nd edView all editions and formats
Summary:
Learning Python, Second Edition is a self-paced book that allows readers to focus on the core Python language in depth. As you work through the book, you'll gain a deep and complete understanding of the Python language that will help you to understand the larger application-level examples that you'll encounter on your own. If you're interested in learning Python--and want to do so quickly and efficiently--then
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Details

Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Mark Lutz; David Ascher
ISBN: 0596002815 9780596002817
OCLC Number: 177669176
Notes: "Covers Python 2.3"--Cover.
"Object-oriented programming"--Cover.
Previous edition: 1999.
Description: 1 online resource (xxvi, 591 pages) : illustrations
Contents: Table of Contents --
Preface --
About This Second Edition --
Prerequisites --
This Book's Scope --
This Book's Style and Structure --
Core Language --
Outer Layers --
Appendixes --
Book Updates --
Font Conventions --
About the Programs in This Book --
Using Code Examples --
How to Contact Us --
Acknowledgments --
Mark Also Says: --
David Also Says: --
Part I --
A Python Q & A Session --
Why Do People Use Python? --
Software Quality --
Developer Productivity --
Is Python a Scripting Language? --
Okay, But What's the Downside? --
Who Uses Python Today? --
What Can I Do with Python? Import and Reload Usage Notes --
The IDLE User Interface --
IDLE Basics --
Using IDLE --
Other IDEs --
Embedding Calls --
Frozen Binary Executables --
Text Editor Launch Options --
Other Launch Options --
Future Possibilities? --
Which Option Should I Use? --
Part I Exercises --
Part II --
Numbers --
Python Program Structure --
Why Use Built-in Types? --
Numbers --
Number Literals --
Built-in Tools and Extensions --
Python Expression Operators --
Mixed Operators: Operator Precedence --
Parentheses Group Subexpressions --
Mixed Types: Converted Up --
Preview: Operator Overloading. Numbers in Action --
Basic Operations and Variables --
Numeric Representation --
Division: Classic, Floor, and True --
Bitwise Operations --
Long Integers --
Complex Numbers --
Hexadecimal and Octal Notation --
Other Numeric Tools --
The Dynamic Typing Interlude --
How Assignments Work --
References and Changeable Objects --
References and Garbage Collection --
Strings --
String Literals --
Single- and Double-Quoted Strings Are the Same --
Escape Sequences Code Special Bytes --
Raw Strings Suppress Escapes --
Triple Quotes Code Multiline Block Strings. Performance implications --
Development implications --
Execution Model Variations --
Python Implementation Alternatives --
CPython --
Jython --
Python.NET --
The Psyco Just-in-Time Compiler --
Frozen Binaries --
Future Possibilities? --
How You Run Programs --
Interactive Coding --
Using the Interactive Prompt --
System Command Lines and Files --
Using Command Lines and Files --
Unix Executable Scripts (#!) --
Clicking Windows File Icons --
Clicking Icons on Windows --
The raw_input Trick --
Other Icon Click Limitations --
Module Imports and Reloads --
The Grander Module Story: Attributes. Systems Programming --
GUIs --
Internet Scripting --
Component Integration --
Database Programming --
Rapid Prototyping --
Numeric Programming --
Gaming, Images, AI, XML, and More --
What Are Python's Technical Strengths? --
It's Object-Oriented --
It's Free --
It's Portable --
It's Powerful --
It's Mixable --
It's Easy to Use --
It's Easy to Learn --
How Does Python Stack Up to Language X? --
How Python Runs Programs --
Introducing the Python Interpreter --
Program Execution --
The Programmer's View --
Python's View --
Byte code compilation --
Python Virtual Machine (PVM).
Responsibility: by Mark Lutz and David Ascher.

Abstract:

"Learning Python", second edition offers programmers a comprehensive learning tool for Python and object-oriented programming. Thoroughly updated, this guide introduces the basic elements of the  Read more...

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As a book for programmers who want to learn Python, it does a very good job. The coverage is informative and well order; making it easy to find what you're looking for. Overall, if you do some work Read more...

 
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