Learning Python

Learning Python

by Lutz, Mark

Type Book
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"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 latest release of Python 2.3 and covers new features, such as list comprehensions, nested scopes, and iterators/generators.

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Title Statements

  • Full title :Learning Python / Mark Lutz and David Ascher

Summary

"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 latest release of Python 2.3 and covers new features, such as list comprehensions, nested scopes, and iterators/generators.

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Edition Statements

  • Publication Date:2004
  • Edition:2. ed

Publication Statements

  • Publisher(s):O'Reilly
  • Place of Publication:Sebastopol, Calif
  • Language:eng
  • Publication Date:2004

Notes

På omslaget: Object-oriented programming

På omslaget: Covers Python 2.3

1. udg.: 1999

The Physical Object

  • Description:xxvi, 591 s. : : illustrations

Edition Identifiers

  • ISBN:0596002815, 9780596002817
  • oclc:ocn464709193
  • LC Classification:QA76.73.P98
  • Dewey Decimal:005.133

Table of Contents

Preface; I. Getting Started; 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?; 2. How Python Runs Programs; Introducing the Python Interpreter; Program Execution; Execution Model Variations; 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; II. Types and Operations 4. Numbers; Python Program Structure; Why Use Built-in Types? Numbers; Python Expression Operators; Numbers in Action The Dynamic Typing Interlude; 5. Strings; String Literals Strings in Action; String Formatting; String Methods General Type Categories; 6. Lists and Dictionaries; Lists Lists in Action; Dictionaries; Dictionaries In Action 7. Tuples, Files, and Everything Else; Tuples; Files Type Categories Revisited; Object Generality; Referenc…

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