Descriptions
Data Structures and Algorithms in Python, Data Structures and Algorithms in Python offers a comprehensive, definitive introduction to data structures and algorithms, including their design, analysis, and implementation in Python. Utilizing a consistent object-oriented viewpoint throughout the book, it provides detailed algorithmic strategies for producing efficient realizations of common data structures such as arrays, stacks, queues, linked lists, trees, maps, hash tables, search trees, and graphs. The book also provides an in-depth analysis of algorithmic performance that helps readers to recognize common trade-offs between competing strategies. The book incorporates a host of pedagogical features, including illustrations, code fragments, and end-of-chapter exercises.
Book features
- Understand the fundamentals of data structures and algorithms in Python.
- Design, analyze, and implement efficient algorithms for arrays, stacks, queues, linked lists, trees, maps, hash tables, search trees, and graphs.
- Apply object-oriented programming principles to data structure implementation.
- Evaluate algorithmic performance and recognize trade-offs between different strategies.
- Solve problems using recursion, sorting, searching, and graph algorithms.
- Utilize pedagogical features such as illustrations, code fragments, and exercises for deeper learning.
Who this course is for
- Students and professionals seeking a comprehensive introduction to data structures and algorithms in Python.
- Learners preparing for technical interviews or computer science exams.
- Software developers aiming to strengthen their understanding of algorithmic strategies.
- Anyone interested in mastering the design and analysis of data structures using Python.
Specificatoin of Data Structures and Algorithms in Python
- Publisher : Wiley
- Teacher : Michael T. Goodrich
- Language : English
- Level : All Levels
- Pages: 668
- Chapters: 16
- Format: EPUB
Content of Data Structures and Algorithms in Python

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