Dive Into Algorithms
A Pythonic Adventure for the Intrepid Beginner
$63.10
- Paperback
248 pages
- Release Date
25 November 2020
Summary
Dive Into Algorithms is a broad introduction to algorithms using the Python Programming Language. Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the world’s most interesting algorithms. With little more than a bit of computer programming experience and basic high-school math, you’ll explore standard computer science algorithms for searching, sorting, and optimization; human-based algorithms that help us determine how to catch a baseball or eat the right amount at a buffet; a…
Book Details
| ISBN-13: | 9781718500686 |
|---|---|
| ISBN-10: | 1718500688 |
| Author: | Bradford Tuckfield |
| Publisher: | No Starch Press,US |
| Imprint: | No Starch Press,US |
| Format: | Paperback |
| Number of Pages: | 248 |
| Release Date: | 25 November 2020 |
| Weight: | 486g |
| Dimensions: | 235mm x 177mm |
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What They're Saying
Critics Review
“This book is based entirely on learning math, but it does a really good job of changing how it’s learned. Instead of trying to give you a dry math lecture, this book will tell a story with each of its chapters. This story based education ties real world problems and solutions with the algorithms that this book is trying to teach.”
—Ian Mizer, Cloud Support Engineer
“An excellent self-discovery approach to learning algorithms.”
—Ira Laefsky, Vine Voice
“A clear and concise introduction to algorithmic thinking. This is especially important in today’s world where resolving processes using computers is far more important than ever before. Python is not the main focus of the book, more like the algorithmic language using which a variety of topics are explored. Top marks for content and style.”
—Brian G. McEnery, Amazon Reviewer
“[This] book has been great about teaching you what you need to know to do each section! I’d recommend giving it a shot!”
—@ViolanteCode
About The Author
Bradford Tuckfield
Bradford Tuckfield, PhD, is the founder of Kmbara, which solves problems using machine learning, AI, chatbots, and other data-based innovations. The author of Applied Unsupervised Learning with R, his work has also been featured in top scholarly journals, and his essays on culture and public policy can be seen in Quillette, National Affairs, and other prestigious outlets.
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