PHP 5 in Practice

Author: Elliott White III & Jonathan D. Eisenhamer
Publisher: Sam’s Developer’s Library, 2006
Pages: 440
ISBN: 978-0672328886
Rating:4
Aimed at: Developers already familiar with PHP
Pros: A collection of useful cookbook recipes
Cons: No complete applications and light on theory
Reviewed by: Ian Elliot

This is a PHP cookbook and as such you need to know some PHP to make any sense of it. There is a short, very short, introduction to some of the peculiarities of style but nowhere near enough to get you started with the language. You also won’t find any details of how to install and configure PHP – it is assumed that you have it all under control and indeed know what PHP is for and why you might want to use it. Most of the recipes are small, indeed each chapter begins with a set of micro examples that shows the basic of using the PHP facilities under discussion. We also encounter some longer examples but no complete applications. The approach to coding is also fairly basic in that generally functions are not used to organise blocks of code and similarly little use is made of objects outside of the chapter that deals specifically with them.

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This is a book that solves smallish problems and leaves the integration into a whole system up to you. As long as this is what you are expecting then all well and good. Each example is presented as a listing with some comments a brief explanation of the general principles and specific comments. In some cases this is more than adequate when the example is fairly trivial – removing white space from a string, working out the mean etc. In other cases, building a web service client using SOAP, implementing an FTP client, uploading files and so on, a little more background is needed to fully understand what is going on. As a collection of recipes there are going to be many that you don’t need but any that you do need will inevitably save you time. A useful book.

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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?



Modern Software Engineering (Addison-Wesley)

Author: David Farley
Pages: 256
ISBN: 978-0137314911
Print:0137314914
Kindle: B09GG6XKS4
Audience: Software Engineers
Rating: 3.5
Reviewer: Kay Ewbank

This book is subtitled 'doing what works to build better software faster' - does it teach you how to achieve that?


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Last Updated ( Sunday, 18 November 2012 )