Tag Archives: book review

Grokking Deep Learning

In the book club at work, I just finished reading Grokking Deep Learning by Andrew Trask. It is an introduction to deep learning, but there are some problems. It spends a lot of pages on the basics, and in the end moves on to some fairly advanced topics. It is also contains many small and irritating mistakes. However, it does have some great insights into deep learning. Continue reading

Classic Computer Science Problems in Python

I really enjoyed Classic Computer Science Problems in Python by David Kopec. It covers many different problems I hadn’t read detailed explanations of before. For example: neural networks, constraint-satisfaction problems, genetic algorithms and the minimax algorithm. Unlike many other books on algorithms and programming problems, this one builds up complete (but small) programs that are easy to explore on your own.

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Book Review: Designing Data-Intensive Applications

What a great book Designing Data-Intensive Applications is! It covers databases and distributed systems in clear language, great detail and without any fluff. I particularly like that the author Martin Kleppmann knows the theory very well, but also seems to have a lot of practical experience of the types of systems he describes.

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Book review: Accelerate

The book Accelerate details the findings of four years of research on how DevOps affects various outcomes, such as software delivery tempo and stability, as well as the organizations’ profitability and market share. DevOps in this context means things like continuous delivery, automated tests, trunk-based development, and proactive monitoring of system health. It is quite clear that DevOps practices bring lots of benefits to organizations adopting them. The research findings are also in line with my own experience of DevOps.

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Exercises in Programming Style

In the book club at work, we recently finished reading Exercises in Programming Style by Cristina Videira Lopes. The book consists of a simple program implemented in 33 different programming styles. It is a great way of showing the different styles, and the book was quite popular in the book club. The book is relatively new (it was published in 2014), and I don’t think it is as well-known as it deserves to be. So here is a summary and review of it. Continue reading

Developer Testing

I recently found out about the book Developer Testing – Building Quality Into Software by Alexander Tarlinder, and I immediately wanted to read it. Even though I am a developer at heart, I have always been interested in software testing (I even worked as a tester for two years).

I think the subject of the book, developer testing, is timely. There seems to be a broad trend where more and more responsibility for testing is given to developers. It follows from the move towards micro services, dev ops and the “you built it, you run it” principle. Another driving force is the prevalence of developer testing frameworks that started with JUnit and now includes many more. These frameworks encourage and help developers write automatic tests.

Despite this trend of increasing developer testing, my feeling is that many developers still don’t test their programs well enough. For example, they may test the “happy path”, but not the different error handling cases. That is why I was excited about this new book explicitly addressing developer testing. Continue reading

Book Review: The Effective Engineer

Last month we finished reading “The Effective Engineer” by Edmond Lau in the book club at work. It is a great book full of practical advice on how to get more done as a software developer. In fact, it is one of the three books I think all programmers would benefit from reading (the other two are Code Complete and The Pragmatic Programmer).

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