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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Data Structures & Algorithms in Python

Author: Dr. John Canning, Alan Broder and Robert Lafore
Publisher: Addison-Wesley
Date: October 2022
Pages: 928
ISBN:978-0134855684
Print: 013485568X
Kindle: B0B1WJF1K9
Audience: Python developers
Rating: 4
Reviewer: Mike James
Data structures in Python - a good idea!



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.


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Last Updated ( Friday, 16 February 2018 )