A Common-sense Guide to Data Structures and Algorithms in Python (Pragmatic Bookshelf)
Friday, 02 February 2024

This book shows that data structures and algorithms aren't just theory, but are useful for your Python code. Jay Wengrow looks at how techniques such as Big O notation can make code run faster, and how data structures such as hash tables, trees, and graphs can increase your code's efficiency exponentially. With simple language and clear diagrams, this book makes this complex topic accessible, and shows how to take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code.

<ASIN:B0CPB51GT5 >

 

Author: Jay Wengrow
Publisher: Pragmatic Bookshelf
Date: January 2024
Pages: 504
ISBN: 978-8888650356
Print: B0CPB51GT5
Audience: Python developers
Level: Intermediate
Category: Python

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Publisher: Addison-Wesley
Pages: 304
ISBN: 978-0137961009
Print: 0137961006
Kindle: B0BXWP88KP
Audience: Adherents of Agile methodology
Rating: 4.5
Reviewer: Alex Denham

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Grokking Machine Learning

Author: Luis G. Serrano
Publisher: Manning
Date: December 2021
Pages: 512
ISBN: 978-1617295911
Print: 1617295914
Kindle: B09LK7KBSL
Audience: Python developers interested in machine learning
Rating: 5
Reviewer: Mike James
Another book on machine learning - surely we have enough by now?


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