Book Watch Archive

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

Click on the title (in blue) for more information on any book.



A Digital Signal Processing Primer (Dover Publications)
Friday, 04 December 2020

This is an informal and easy-to-understand introduction to digital signal processing, which as its subtitle indicates, emphasizes digital audio and applications to computer music. Ken Steiglitz provides a working knowledge and understanding of frequency-domain methods. The book also features questions and suggested experiments that help readers understand and apply digital signal processing theory and techniques.


A Tour of Data Science (Chapman & Hall)
Wednesday, 02 December 2020

This book covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. Nailong Zhang does not cover everything, but rather, teaches the key concepts and topics in data science. The book also covers two of the most popular programming languages used in Data Science, R and Python.


Modern Fortran (Manning)
Monday, 30 November 2020

In this practical guide, subtitled "Building efficient parallel applications", author Milan Curcic starts from the essentials of  modern Fortran, with a focus on reusable modules, functions, and subroutines before diving into Fortran's unique approach to parallel programming with coarrays. He then systematically explores all the really interesting stuff: how to overload operators and generic functions, work with a variety of different inputs and outputs, and much more. Finally, readers will take on advanced parallelism with teams and events, and interoperability with C.


Python Programming for Beginners: A Kid's Guide to Coding Fundamentals (Rockridge Press)
Friday, 27 November 2020

This book teaches kids about Python and programming fundamentals―and is packed full of fun and creative activities to encourage learning, Patricia Foster starts off with the basics, explaining all about fundamental coding concepts and how kids can put these concepts together in Python to build their own games and programs.


Raspberry Pi IoT In Python Using GPIO Zero (I/O Press)
Wednesday, 25 November 2020

The Raspberry Pi makes an ideal match for the Internet of Things, and in this book Harry Fairhead and Mike James show how to put it to good use in IoT. To achieve this needs two areas of expertise, electronics and programming  and because of the way hardware and software engineering tend to occupy separate niches, this book shows how to combine the two. The GPIO Zero library is the official way to use Python with the GPIO and other devices and this book looks at how to use it to interface to fundamental IoT devices – from LEDs and buzzers to servos and stepper motors and several off-the-shelf Raspberry Pi  add-ons.


Grokking Deep Reinforcement Learning (Manning)
Monday, 23 November 2020

This book uses engaging exercises to teach you how to build deep learning systems. Miguel Morales combines annotated Python code with intuitive explanations to explore Deep Reinforcement Learning (DRL) techniques. You’ll see how algorithms function and learn to develop your own DRL agents using evaluative feedback.


High-Tech LEGO Projects: 16 Rule-Breaking Inventions (No Starch)
Friday, 20 November 2020

This is a collection of 16 scientific and technical projects to build with parts from the Lego Mindstorms EV3 robotics set and other components. Author Grady Koch shows how to build creative technical inventions with practical applications. You'll learn to build a dynamic array of working devices for outdoor research, home security, spycraft, and more.


The Art of Multiprocessor Programming, 2nd Ed (Morgan Kaufmann)
Wednesday, 18 November 2020

This book is a guide to multicore programming, and this updated edition introduces higher level software development skills relative to those needed for efficient single-core programming. It is aimed at both students and professionals, who will benefit from its thorough coverage of key multiprocessor programming issuesAuthors Maurice Herlihy, Nir Shavit, Victor Luchangco and Michael Spear include comprehensive coverage of the new principles, algorithms, and tools necessary for effective multiprocessor programming.


C# 9 and .NET 5 5th Ed (Packt)
Monday, 16 November 2020

This book shows how to start programming C# applications and has been updated and expanded with a new chapter on the Microsoft Blazor framework. Mark J Price begins with the fundamentals of C#, including object-oriented programming and new C# 9 features such as top-level programs, target-typed new object instantiation, and immutable types using the record keyword. 


Alice and Bob Learn Application Security (Wiley)
Friday, 13 November 2020

This book is intended as an accessible and thorough resource for anyone seeking to incorporate best security practices in software development. Author Tanya Janca uses stories of the characters Alice and Bob, real-life examples, technical explanations and diagrams to ensure maximum clarity of the many abstract and complicated subjects. The book covers all the basic subjects such as threat modeling and security testing, but also dives deep into more complex and advanced topics for securing modern software systems and architectures.


Modern JavaScript for the Impatient (Addison-Wesley)
Wednesday, 11 November 2020

This book is a guide to JavaScript E6 and beyond that concentrates on the most recent versions so developers can rapidly move from languages such as Java, C#, C, or C++.  Author Cay S. Horstmann's practical insights and sample code illustrate what's that’s new, and look at how to avoid common pitfalls and obsolete features. The book also looks at how to make the most of modern JavaScript’s robust toolchains and frameworks.


Data Engineering with Python (Packt)
Monday, 09 November 2020

This book looks at how to tackle challenges commonly faced in different aspects of data engineering. Paul Crickard starts with an introduction to the basics of data engineering, along with the technologies and frameworks required to build data pipelines to work with large datasets. He then looks at how to transform and clean data and perform analytics to get the most out of data.The book also covers how to work with big data of varying complexity and production databases, and build data pipelines.



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