An edition of Learning Python
(1999)
Learning Python
First Indian Reprint
by Mark Lutz and David Ascher
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Describes the features of the Python 2.5 programming language, covering such topics as types and operations, statements and syntax, functions, modules, classes and OOP, and exceptions and tools.
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Python (Langage de programmation), Python (linguagem de programação), Python (Computer program language), Python (Lenguaje de programación de computadores), Langage à objets, Python (programmeertaal), Object-oriented programming (Computer science), Python (Computer language), Interpréteur, Python, COMPUTERS, Programming Languages, Engineering & Applied Sciences, Computer Science, General, Reference, Games, Com051360, Cs.cmp_sc.app_sw, Cs.cmp_sc.prog_lang, Professional, career & trade -> computer science -> programming languages (jr/sr), Professional, career & trade -> computer science -> general, Professional, career & trade -> computer science -> pythonShowing 7 featured editions. View all 21 editions?
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Learning Python
October 1, 2007, O'Reilly Media
Paperback
in English
- 3rd Edition, Covers Python 2.5
0596513984 9780596513986
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Learning Python
Jan 2004, Shroff Publishers & Distributors Pvt. Ltd.
Paperback
in English
- First Indian Reprint
8173667381 9788173667381
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Einführung in Python
2000, O'Reilly
paperback
in German
- Deutsche Ausgabe, 1. Auflage
3897211297 9783897211292
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Book Details
Table of Contents
Part I. Getting Started
Chapter 1. A Python Q&A Session
Why Do People Use Python?
Is Python a Scripting Language?
Okay, But What's the Downside?
Who Uses Python Today?
What Can I Do with Python?
What Are Python's Technical Strengths?
How Does Python Stack Up to Language X?
Chapter 2. How Python Runs Programs
Introducing the Python Interpreter
Program Execution
Execution Model Variations
Chapter 3. How You Run Programs
Interactive Coding
System Command Lines and Files
Clicking Windows File Icons
Module Imports and Reloads
The IDLE User Interface
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. Types and Operations
Chapter 4. Numbers
Python Program Structure
Why Use Built-in Types?
Numbers
Python Expression Operators
Numbers in Action
The Dynamic Typing Interlude
Chapter 5. Strings
String Literals
Strings in Action
String Formatting
String Methods
General Type Categories
Chapter 6. Lists and Dictionaries
Lists
Lists in Action
Dictionaries
Dictionaries in Action
Chapter 7. Tuples, Files, and Everything Else
Tuples
Files
Type Categories Revisited
Object Generality
References Versus Copies
Comparisons, Equality, and Truth
Python's Type Hierarchies
Other Types in Python
Built-in Type Gotchas
Part II Exercises
Part III. Statements and Syntax
Chapter 8. Assignment, Expressions, and Print
Assignment Statements
Expression Statements
Print Statements
Chapter 9. if Tests
if Statements
Python Syntax Rules
Truth Tests
Chapter 10. while and for Loops
while Loops
break, continue, pass, and the Loop else
for Loops
Loop Variations
Chapter 11. Documenting Python Code
The Python Documentation Interlude
Common Coding Gotchas
Part III Exercises
Part IV. Functions
Chapter 12. Function Basics
Why Use Functions?
Coding Functions
A First Example: Definitions and Calls
A Second Example: Intersecting Sequences
Chapter 13. Scopes and Arguments
Scope Rules
The global Statement
Scopes and Nested Functions
Passing Arguments
Special Argument Matching Modes
Chapter 14. Advanced Function Topics
Anonymous Functions: lambda
Applying Functions to Arguments
Mapping Functions Over Sequences
Functional Programming Tools
List Comprehensions
Generators and Iterators
Function Design Concepts
Function Gotchas
Part IV Exercises
Part V. Modules
Chapter 15. Modules: The Big Picture
Why Use Modules?
Python Program Architecture
How Imports Work
Chapter 16. Module Coding Basics
Module Creation
Module Usage
Module Namespaces
Reloading Modules
Chapter 17. Module Packages
Package Import Basics
Package Import Example
Why Use Package Imports?
A Tale of Three Systems
Chapter 18. Advanced Module Topics
Data Hiding in Modules
Enabling Future Language Features
Mixed Usage Modes: __name__ and __main__
Changing the Module Search Path
The import as Extension
Module Design Concepts
Module Gotchas
Part V Exercises
Part VI. Classes and OOP
Chapter 19. OOP: The Big Picture
Why Use Classes?
OOP from 30,000 Feet
Chapter 20. Class Coding Basics
Classes Generate Multiple Instance Objects
Classes Are Customized by Inheritance
Classes Can Intercept Python Operators
Chapter 21. Class Coding Details
The Class Statement
Methods
Inheritance
Operator Overloading
Namespaces: The Whole Story
Chapter 22. Designing with Classes
Python and OOP
Classes as Records
OOP and Inheritance: "is-a" Relationships
OOP and Composition: "has-a" Relationships
OOP and Delegation
Multiple Inheritance
Classes Are Objects: Generic Object Factories
Methods Are Objects: Bound or Unbound
Documentation Strings Revisited
Classes Versus Modules
Chapter 23. Advanced Class Topics
Extending Built-in Types
Pseudo-Private Class Attributes
"New Style" Classes in Python 2.2
Class Gotchas
Part VI Exercises
Part VII. Exceptions and Tools
Chapter 24. Exception Basics
Why Use Exceptions?
Exception Handling: The Short Story
The try/except/else Statement
The try/finally Statement
The raise Statement
The assert Statement
Chapter 25. Exception Objects
String-Based Exceptions
Class-Based Exceptions
General raise Statement Forms
Chapter 26. Designing with Exceptions
Nesting Exception Handlers
Exception Idioms
Exception Design Tips
Exception Gotchas
Core Language Summary
Part VII Exercises
Part VIII. The Outer Layers
Chapter 27. Common Tasks in Python
Exploring on Your Own
Conversions, Numbers, and Comparisons
Manipulating Strings
Data Structure Manipulations
Manipulating Files and Directories
Internet-Related Modules
Executing Programs
Debugging, Testing, Timing, Profiling
Exercises
Chapter 28. Frameworks
An Automated Complaint System
Interfacing with COM: Cheap Public Relations
A Tkinter-Based GUI Editor for Managing Form Data
Jython: The Felicitous Union of Python and Java
Exercises
Chapter 29. Python Resources
Layers of Community
The Process
Services and Products
The Legal Framework: The Python Software Foundation
Software
Popular Third-Party Software
Web Application Frameworks
Tools for Python Developers
Part IX. Appendixes
A. Installation and Configuration
B. Solutions to Exercises
Index
The Physical Object
ID Numbers
Community Reviews (2)
Feedback?
Credibility 2
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| June 18, 2022 | Edited by bitnapper | Merge works |
| February 16, 2010 | Edited by Anand Chitipothu | fix toc |
| February 16, 2010 | Edited by Anand Chitipothu | add table of contents |
| February 16, 2010 | Created by Anand Chitipothu | New edition |