Learning Python - Info and Reading Options
By Mark Lutz and David Ascher

"Learning Python" was published by O'Reilly in 1999 - Beijing, it has 366 pages and the language of the book is English.
“Learning Python” Metadata:
- Title: Learning Python
- Authors: Mark LutzDavid Ascher
- Language: English
- Number of Pages: 366
- Publisher: O'Reilly
- Publish Date: 1999
- Publish Location: Beijing
“Learning Python” Subjects and Themes:
- Subjects: ➤ 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 -> python
Edition Specifications:
- Pagination: xvi, 366 p. :
Edition Identifiers:
- The Open Library ID: OL6804857M - OL2784125W
- Online Computer Library Center (OCLC) ID: 41466161 - 44960325
- Library of Congress Control Number (LCCN): 00267609
- ISBN-10: 1565924649
- All ISBNs: 1565924649
AI-generated Review of “Learning Python”:
"Learning Python" Table Of Contents:
- 1- Preface
- 2- The Core Language
- 3- Getting Started
- 4- Why Python?
- 5- How to Run Python Programs
- 6- A First Look at Module Files
- 7- Python Configuration Details
- 8- Summary
- 9- Exercises
- 10- Types and Operators
- 11- Python Program Structure
- 12- Why Use Built-in Types?
- 13- Numbers
- 14- Strings
- 15- Lists
- 16- Dictionaries
- 17- Tuples
- 18- Files
- 19- General Object Properties
- 20- Built-in Type Gotchas
- 21- Summary
- 22- Exercises
- 23- Basic Statements
- 24- Assignment
- 25- Expressions
- 26- Print
- 27- if Tests
- 28- while Loops
- 29- for Loops
- 30- Common Coding Gotchas
- 31- Summary
- 32- Exercises
- 33- Functions
- 34- Why Use Functions?
- 35- Function Basics
- 36- Scope Rules in Functions
- 37- Argument Passing
- 38- Odds and Ends
- 39- Function Gotchas
- 40- Summary
- 41- Exercises
- 42- Modules
- 43- Why Use Modules?
- 44- Module Basics
- 45- Module Files Are Namespaces
- 46- Import Model
- 47- Reloading Modules
- 48- Odds and Ends
- 49- Module Gotchas
- 50- Summary
- 51- Exercises
- 52- Classes
- 53- Why Use Classes?
- 54- Class Basics
- 55- Using the Class Statement
- 56- Using Class Methods
- 57- Inheritance Searches Namespace Trees
- 58- Operator Overloading in Classes
- 59- Namespace Rules: The Whole Story
- 60- Designing with Classes
- 61- Odds and Ends
- 62- Class Gotchas
- 63- Summary
- 64- Exercises
- 65- Exceptions
- 66- Why Use Exceptions?
- 67- Exception Basics
- 68- Exception Idioms
- 69- Exception Catching Modes
- 70- Odds and Ends
- 71- Exception Gotchas
- 72- Summary
- 73- Exercises
- 74- The Outer Layers
- 75- Built-in Tools
- 76- Built-in Functions
- 77- Library Modules
- 78- Exercises
- 79- Common Tasks in Python
- 80- Data Structure Manipulations
- 81- Manipulating Files
- 82- Manipulating Programs
- 83- Internet-Related Activities
- 84- Bigger Examples
- 85- Exercises
- 86- Frameworks and Applications
- 87- An Automated Complaint System
- 88- Interfacing with COM: Cheap Public Relations
- 89- A Tkinter-Based GUI Editor for Managing Form Data
- 90- Design Considerations
- 91- JPython: The Felicitous Union of Python and Java
- 92- Other Frameworks and Applications
- 93- Exercises
- 94- Appendixes
- 95- Python Resources
- 96- Platform-Specific Topics
- 97- Solutions to Exercises
- 98- Index
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