Competitive Programming in Python (Cambridge University Press)
Friday, 22 January 2021

Subtitled "128 Algorithms to Develop your Coding Skills" this is a collection of algorithmic techniques and programming skills chosen to be useful for job interviews in the tech industry and competing in coding competitions. Christoph Dürr and Jill-Jênn Vie are experienced coaches, problem setters, and jurors for coding competitions. They highlight the versatility of each algorithm by considering a variety of problems and show how to implement algorithms in simple and efficient code.

Readers can expect to master 128 algorithms in Python and discover the right way to tackle a problem and quickly implement a solution of low complexity.

Author: Christoph Dürr and Jill-Jênn Vie
Publisher: Cambridge University Press
Date:December 2020
Pages: 264
ISBN: 978-1108716826
Print: 1108716822
Kindle: B08K3MS9ML
Audience: Python developers interested in algorithms
Level: Intermediate/advanced
Category: Python

 

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


Classic Computer Science Problems in Python

Author: David Kopec
Publisher: Manning
Date: March 2019
Pages: 224
ISBN: 978-1617295980
Print: 1617295981
Kindle: ‎ ‎ B09782BT4Q
Level: Intermediate
Audience: Python developers
Category: Python
Rating: 4
Reviewer: Mike James
Classic algorithms in Python - the world's favourite language.



Deep Learning (No Starch Press)

Author: Andrew Glassner
Publisher: No Starch Press
Date: July 2021
Pages: 750
ISBN: 978-1718500723
Print: 1718500726
Kindle: ‎ B085BVWXNS
Audience: Developers interested in deep learning
Rating: Mike James
Reviewer: 5
A book on deep learning wtihout an equation in sight?


More Reviews