Think Python

Think Python

by Downey, Allen

Type Book
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If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3. Through exercises in each chapter, you'll try out programming concepts as you learn them. Think Python is ideal for students at the high s…

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Title Statements

  • Full title :Think Python / Allen B. Downey.

Summary

If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3. Through exercises in each chapter, you'll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Beginners just getting their feet wet will learn how to start with Python in a browser.--

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Edition Statements

  • Publication Date:©2016
  • Edition:Second edition, updated for Python 3

Publication Statements

  • Publisher(s):O'Reilly Media, Inc
  • Place of Publication:Sebastopol, CA
  • Language:eng
  • Publication Date:©2016

Notes

"How to think like a computer scientist"--Cover.

"Updated for Python 3"--Cover.

Includes index.

The Physical Object

  • Description:xx, 268 pages : : illustrations ; : 24 cm

Edition Identifiers

  • ISBN:1491939362, 9781491939369
  • oclc:ocn919482363
  • LC Classification:QA76.73.P98
  • Dewey Decimal:005.13/3

Table of Contents

The way of the program -- Variables, expressions and statements -- Functions -- Case Study: Interface design -- Conditionals and recursion -- Fruitful functions -- Iteration -- Strings -- Case study: Word play -- Lists -- Dictionaries -- Tuples -- Case study: Data structure selection -- Files -- Classes and objects -- Classes and functions -- Classes and methods -- Inheritance -- The goodies -- Debugging -- Analysis of algorithms.

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