Home   FAQs   New Arrivals   Specials   Pricing & Shipping   Location   Corporate Services   Why Choose Bookware?  
 Search:   
Call our store: 9955 5567 (from within Sydney) or 1800 734 567 (from outside Sydney)
 View Cart   Check Out   
 
Browse by Subject
 TAFE Accounting
 TAFE I.T./Computing
 TAFE - Other
I.T
 .NET
 Windows 8
 Adobe CS6
 Cisco
 CCNA 2012
 CCNP 2012
 Java
 VB
 ASP
 Web Design
 E-Commerce
 Project Management
 ITIL
 Macintosh
 Mobile Devices
 Linux
 Windows Server 2012
 SQL Server 2012
 SAP
Certification
 MCITP
 MCTS
Economics and Business
 Accounting
 Business Information Systems
 Economics
 Finance
 Management
 Marketing
 TAX
 Human Resources
Academic
 Law
 Nursing
 Medical
 Psychology
 Engineering

Data Structures and Algorithms in Python

by: Michael T. Goodrich, Roberto Tamassia and Michael H. Goldwasser

Notify me when in stock

On-line Price: $116.95 (includes GST)

Hardcover package 736

13%Off Retail Price

You save: $18.00

Usually ships within 3-4 business days.

Retail Price: $134.95

Publisher: John Wiley & Sons,08.03.13

Category: PYTHON PROGRAMMING Level: B/I/A

ISBN: 1118290275
ISBN13: 9781118290279

Add to Shopping Cart

Based on the authors? market leading data structures books in Java and C++, thisbook offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Data Structures and Algorithms in Python is the first authoritative object-oriented book available for Python data structures. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++. Begins by discussing Python?s conceptually simple syntax, which allows for a greater focus on concepts. Employs a consistent object-oriented viewpoint throughout the text. Presents each data structure using ADTs and their respective implementations and introduces important design patterns as a means to organize those implementations into classes, methods, and objects. Provides a thorough discussion on the analysis and design of fundamental data structures. Includes many helpful Python code examples, with source code provided on the website. Uses illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Provides hundreds of exercises that promote creativity, help readers learn how to think like programmers, and reinforce important concepts. Contains many Python-code and pseudo-code fragments, and hundreds of exercises, which are divided into roughly 40% reinforcement exercises, 40% creativity exercises, and 20% programming projects.