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.
| Pages : | /Paperback N/A |
| Size : | PDF Files and a single PDF (360 pages, 2.1 MB) |
| File type : | HTML |
| Downloads: | 307 |
| Created: | 2020-08-27 |
| License: | Creative Commons Attribution-ShareAlike 4.0 International License |
| Author(s): | John B. Schneider, Shira Lynn Broschat, Jess Dahmen |
Modeling and Simulation in Python
Fundamentals of Python Programming
First Semester in Numerical Analysis with Python
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