Data Wrangling with Python (O'Reilly)
Wednesday, 23 March 2016

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started. 

<ASIN:1491948817>

Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain.

Authors:  Jacqueline Kazil and Katharine Jarmul 
Publisher: O'Reilly
Date: February 20, 2016
Pages: 508
ISBN: 978-1491948811
Print: 1491948817
Kindle: B01BHC06QC

Audience: Non-programmers with data to analyze and present
Category: PythonData Science 

 

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Author: Sebastian Raschka
Publisher: No Starch Press
Date: April 2024
Pages: 264
ISBN: 978-1718503762
Print: 1718503768
Kindle: B0CKKXCK3T
Audience: Developers interested in AI
Rating: 4
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Author: Mike McGrath
Publisher: In Easy Steps
Date: April 2022
Pages: 192
ISBN: 978-1840789713
Print: 1840789719
Kindle: B09V2T9SJD
Audience: Developers wanting to learn C++
Reviewer: Mike James
This is the 6th edition of a slim book on C++. Can you really learn C++ in easy steps?


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