Learning Spark: Lightning-Fast Big Data Analysis (O'Reilly)
Monday, 02 March 2015

Data in all domains is getting bigger. How can you work with it efficiently? Written by the developers of Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run, this book will have data scientists and engineers up and running in no time. You’ll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning.

<ASIN:1449358624>

Authors: Holden Karau and Andy Konwinski

Publisher: O'Reilly 
Date: February 27, 2015
Pages: 274

ISBN: 9781449358624
Print: 1449358624
Kindle: B00SW0TY8O

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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.



Machines Like Me

Author: Ian McEwan
Publisher: Vintage, 2019
Pages: 304
ISBN: 978-1529111255
Print: 1529111250
Kindle: B07HR6SGQ9
Audience: General
Rating: 4.5
Reviewer: Mike James
A novel about a synthetic human has become so much more relevant recently and guess what - it features Alan Turing.


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