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.

 

Banner

 

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.

 

Banner

 


Math for Programmers (Manning)

Author: Paul Orland
Publisher: Manning Publications
Date: January 2021
Pages: 688
ISBN: 978-1617295355
Print: 1617295353
Audience: Python developers interested in math
Rating: 4
Reviewer: Mike James
Of course you need to learn math, don't you?



Artificial Intelligence, Machine Learning, and Deep Learning (Mercury Learning)

Author: Oswald Campesato
Publisher: Mercury Learning
Date: February 2020
Pages: 300
ISBN: 978-1683924678
Print: 1683924673
Kindle: B084P1K9YP
Audience: Developers interested in machine learning
Rating: 4
Reviewer: Mike James

Another AI/ML book - is there room for another one?


More Reviews

Last Updated ( Friday, 16 February 2018 )