The Arduino Cookbook is a hefty tome, weighing in at 631 pages with minimal space covering introductory material. Page xvi refers to “What was left Out” which has references for programming, electronics and hardware. I’m glad to see this material isn’t duplicated in this book.
LISP stands for List Processing. This book is a nice introduction to the Common LISP programming language.
I started using the EMACS editor recently and really love it. As a result I wanted to learn more
about the language on which the EMACS editor is built upon.
Many of the books that I read that are typically referrals from a web page or cited in other book reviews. I can’t remember exactly how I was referred to Coders At Work, but it has been the most fortunate of happenings. I suspect that what drew me to the book is the interview with Joe Armstrong, because I’m currently obsessed with learning Erlang as well as its development.
I’m very disappointed in this book, primarily because it is a repeat of so much other material. I’m also not happy that the publisher approved of the contents of this book, when they have published many books on the same introductory material that this book includes. If you’re going to publish an intermediate or advanced book, state the prerequisites and get on with the “real world instrumentation”.
The authors of this book are also the creators of the Processing language and environment. Processing is “an open source programming environment for teaching computational design and sketching interactive media”.
This book is a very good introduction to the R programming language.
R is a free, general purpose programming language(with a strong support for doing statistics).
The language has its idiosyncrasies. For example, the assignment operator is denoted by a reverse arrow (x<-2); this book does a pretty good job of explaining all these in detail. Once you get past these details, you will find that R is a pretty versatile language.
As a biologist preparing to teach my first course (on Python programming for biologists), I was excited to hear about Mitchell L. Model's Bioinformatics Programming Using Python. A quick look through the table of contents indicated a thorough coverage of the language and useful libraries, and the introduction indicated that it would be appropriate for students in the life sciences with no prior programming experience...
This book is a near-perfect blend of Natural Language Processing done
Python usage to its fullest. Not only did the authors describe NLP
extremely well and provided great explanation to many different
conditions but they also showed an effective use of Python to
substantiate the technical content.