Head First C

Author: David Giffiths & Dawn Griffiths
Publisher: O'Reilly
Pages: 591
ISBN: 978-1449399917
Aimed at: Beginner
Rating: 4.5
Pros: Good concept coverage, real life lab projects make it fun
Cons: Very UNIX oriented
Reviewed by: Bill Cunningham

C is a difficult language for a beginner. Do this book succeed it making it "brain friendly"?

By no means is C an easy language to learn. There are lots of places where you can get lost even if you are familiar programming other languages.

Head First C tries to present material as simply as possible using illustrations, like all Head First titles, to show the reader complex concepts in a simple manner.

 

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If you want to learn the C programming language, even if you've never learned a programming language before, this is a great starter book. This book takes you through most of the C language (all 26 keywords) and some of the standard libraries.

If you follow along like the book suggests, you get to work on real life type projects such as Arduino programming, interfacing with OpenCV an open source video library, and an asteroid-type game. Along the way you learn programming concepts such as concurrency, threading and data structures.

The book does have a few drawbacks if you've only done programming from a Windows environment. The book makes extensive use of command line tools and you might not be all that familiar with them. Tools such as gcc, make and gdb can be a little intimidating to use at first, especially for a beginner.

I would recommend this book for the beginner programmer and those who would like a peek at data structures and computer science concepts. This book covers quite a lot of material and functions, but is very UNIX centric in its approach.

 

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Python All-in-One, 2nd Ed (For Dummies)

Authors: John Shovic and Alan Simpson
Publisher: For Dummies
Date: April 2021
Pages: 720
ISBN: 978-1119787600
Print: 1119787602
Kindle: B091DGDLK8
Audience: People wanting to learn Python
Rating: 2
Reviewer: Mike James
All-in-one refers to the fact that this is seven books put together - why?



TinyML: Machine Learning with TensorFlow Lite

Authors: Pete Warden and Daniel Situnayake
Publisher: O'Reilly
Date: December 2019
Pages: 504
ISBN: 978-1492052043
Print: 1492052043
Kindle: B082TY3SX7
Audience: Developers interested in machine learning
Rating: 5, but see reservations
Reviewer: Harry Fairhead
Can such small machines really do ML?


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Last Updated ( Friday, 16 February 2018 )