• Title Algorithmic Problem Solving with Python
• Author(s) John B. Schneider, Shira Lynn Broschat, Jess Dahmen
• Publisher: Washington State University (February 22, 2019. Updated Continuously)
• License(s): Creative Commons Attribution-ShareAlike 4.0 International License
• Hardcover/Paperback N/A
• eBook PDF Files and a single PDF (360 pages, 2.1 MB)
• Language: English
• ISBN-10: N/A
• ISBN-13: N/A
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Book Description

This book uses Python to introduce folks to programming and algorithmic thinking. It is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques.

The book deals with some of the most important and challenging areas of programming and computer science in a highly readable manner. It covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs.

Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others.

If you are a Python lover and looking to learn EVERYTHING you need to learn about the Python approach to algorithm design and analysis, this book is exactly what you need.

• John B. Schneider is an Associate Professor of Electrical Engineering & Computer Science at Washington State University.

• Amazon

• Python Programming
• Algorithms and Data Structures
• Computational Complexity

• Algorithmic Problem Solving with Python (John B. Schneider, et al)
• Videos Lectures for the Book
• Book Homepage (Code and Data, Solutions, Video, etc.)

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