Practical Code Generation in .NET
Author: Peter Vogel
Publisher: Addison Wesley
Pages: 375
ISBN: 978-0321606785
Aimed at: .NET Programmers
Rating: 4.5
Pros: Deals with an interesting and useful topic
Cons: Explanations of the code difficult to follow
Reviewed by: Harry Fairhead

This is a really good idea for a book. It explains how to create Visual Studio add-ins that generate code in response to user input.

It starts off with a chapter on why you might want to do generated code - but of course if you have already bought the book there isn't much need for the hard sell.


Chapter 2 is where the book really starts, with an introduction to creating an add-in - something that is really quite difficult compared to most other .NET programming tasks. The reason is that you have to learn how to access Visual Studio and this is mostly based on COM.

Chapter 3 gets us deeper into code generation with a look at the code model. Chapter 4 is about working with code in the IDE editor including opening documents, inserting, replacing and formatting text and so on.  Chapter 5 is about working with projects and Chapter 6 is on generating language -neutral code.

If this sounds like an impossible task you haven't made the acquaintance of the Code Dom. The Code Dom lets you build a description of procedural code in terms of objects rather like the HTML Dom represents an HTML page without being HTML itself. Once you have a Code Dom structure it can then be rendered into any language  - well any language there there is a provider for.Of course you can always write your own provider for a language of you choice but even then the Code Dom only supports the language features that are common to all .NET languages.

The final chapters in the section discusses generating code with the new Text Template Transformation Tool, T4, and using other tools.

The second part of the book takes the form of case studies. The first is building a connection string manager. The second is about generating validation code and the final case study is about generating data conversion code.

Overall this is quite a good book in that it takes a single topic and deals with it in detail. As a result this is a fairly advanced book and you need to be prepared to do some work in understanding it. However this said the author could have done more to make it seem simpler. The explanations of the code for example are difficult to follow. It is often difficult to work out which particular bit of code the explanations refer to. Overall the result is confusing.

That about sums the book up, confusing in parts but overall if you are interested in code generation its essential reading.


Data Science with Java

Author:  Michael R. Brzustowicz
Publisher:  O'Reilly
Pages: 236
ISBN: 978-1491934111
Print: 1491934115
Kindle: B072MKRQBQ
Audience: Java programmers wanting to use the Apache Commons math library
Rating: 3
Reviewer: Alex Armstrong


Java is a candidate for doing data science, so a book [ ... ]

GANs in Action

Author: Jakub Langr and Vladimir Bok
Publisher: Manning
Date: October 2019
Pages: 240
ISBN: 978-1617295560
Print: 1617295566
Audience: Data professionals with intermediate Python skills
Rating: 4
Reviewer: Mike James
GANs are both fun and potentially profitable. Can you get started with such a slim book [ ... ]

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Last Updated ( Thursday, 17 June 2010 )