Think Python / Allen B. Downey.Material type: TextLanguage: English Edition: 2nd edition, updated for Python 3Description: xx, 268 pages : illustrations ; 24 cmISBN:
- 005.133 23 DOW
|Item type||Current library||Collection||Call number||Status||Date due||Barcode|
|General Books||CUTN Central Library Generalia||Non-fiction||005.133 DOW (Browse shelf(Opens below))||Available||29609|
"How to think like a computer scientist" -- Cover.
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. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand objects, methods, and object-oriented programming Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design, data structures, and GUI-based programs through case studies
Edition statement from cover.
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.
There are no comments on this title.