Foundational Python For Data Science

Author: Kennedy Behrman
Publisher: Pearson
Pages:256
ISBN: 978-0136624356
Print: 0136624359
Kindle: B095Y6G2QV
Audience: Data scientists
Rating: 4.5
Reviewer: Kay Ewbank

This book sets out to be a simple introduction to Python, specifically how to use it to work with data.

The book opens with an introduction to notebooks, with sections on Jupyter notebooks and Google Colab. The emphasis is much more on Colab, essentially you're told that Jupyter exists, and the author uses Colab for showing how to do things.

 

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Python fundamentals are introduced next, with a couple of pages running through the main Python statements, then basic math operations, and how to use dot notation for classes and objects. This is very much along the lines of covering the absolute basics of what you need to know to use and do minor modifications to existing code.

A chapter on sequences comes next, essentially introducing the way you work with data in Python. Other data structures are then introduced - dictionaries, sets and frozen sets. Behrman then looks at execution control - compound statements, ifs and loops, before introducing functions.

The next part of the book concentrates on the main data science libraries, with chapters introducing and showing how to work with NumPy, SciPy and Pandas. Behrman then looks at other libraries for visualization, machine learning, and natural language work.

The third part of the book goes back to Python, with chapters on functional programming, object-oriented programming, and a catch-all 'other topics'.

I thought this was a good book. It takes a very pragmatic view of what someone might need to know if they are mainly interested in getting at the data, and need a bit of Python to be able to make things work.

It's not a book I'd recommend for learning to program, but there's a lot you can still do if you know how to write (or modify) a short bit of code so you can make use of NumPy or Pandas. Recommended.

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Software Development Pearls

Author: Karl Wiegers
Publisher: Addison-Wesley Professional
Pages: 336
ISBN: 978-0137487776
Print: 0137487770
Kindle: B09BF6CS9T
Audience: General developers
Rating: 2
Reviewer: Ian Elliot
Who can resist a good pearl or two?



Learn dbatools in a Month of Lunches

Author: Chrissy LeMaire et al
Publisher: Manning
Pages: 400
ISBN: 978-1617296703
Print: 1617296708
Kindle: B0B39PCHL8
Audience: SQL Server DBAs
Rating: 5
Reviewer: Ian Stirk 

This book aims to make it easier to manage your SQL Server estate, how does it fare? 


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Last Updated ( Saturday, 23 July 2022 )