Data Structures and Algorithms in Python
- Authors
- Goldwasser, Michael H. & Tamassia, Roberto & Goodrich, Michael T.
- Publisher
- Wiley
- Tags
- python , programming
- Date
- 2012-11-27T00:00:00+00:00
- Size
- 34.90 MB
- Lang
- en
Based on the authors' market leading data structures books in Java and C++,
this book 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.