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R In A Nutshell by Joseph Adler. Reviewed by Raj Jammalamadaka — by Tony Cappellini — posted on Jul 13, 2010 12:30 AM — —

• oreilly

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.

TextMate: Power Editing for the Mac Review by Raj Jammalamadaka — by Bill Deegan — posted on Jun 05, 2010 07:30 PM —

This book is for people who have a Mac and are willing to invest in a text editor called TextMate.

Programming Google App Engine by Dan Sanderson Review by William Deegan — by Bill Deegan — posted on Jun 05, 2010 06:54 PM —

If you're like me, when Google announced free hosting on their App Engine platform, you couldn't wait to start tinkering with the new bit of goodness that Google was giving to the world...

Bioinformatics Programming Using Python by Mitchell L. Model Reviewed by Mark Voorhies — by Bill Deegan — posted on Apr 11, 2010 04:30 PM — —

• oreilly

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...

Natural Language Processing with Python Review By Sukanta Ganguly — by Bill Deegan — posted on Apr 11, 2010 04:05 PM — —

• oreilly

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.

Building iPhone Apps with HTML, CSS, and JavaScript: Making App Store Apps Without Objective-C or Cocoa by Johnathan Stark Review by Steven Parkes — by Bill Deegan — posted on Apr 11, 2010 03:56 PM —

I wanted to like this book. I really did. With all that can be done with HTML5 and JavaScript, seems like there's a huge opportunity for doing very interesting things on iPhoneOS devices (both the iPhone and the iPad) without having to write Objective-C or deal with the App Store.

VMware Cookbook First Edition by Ryan Troy and Matthew Helmke Review by Raj Jammalamadaka — by Bill Deegan — posted on Feb 21, 2010 03:50 PM — —

• oreilly

This is a good book for anyone working with the Enterprise products of VMware :ESX, ESXi and vCenter Server.

Bioinformatics Programming Using Python by Mitchell L Model Review by Dr. Sukanta Ganguly — by Bill Deegan — posted on Feb 21, 2010 03:00 PM — —

• oreilly

This book is a good Python Programming tutorial. It does a good job of explaining the concepts of Python programming to individuals who would like to learn Python. The book is written in eleven chapters. It has two appendix titles ‘A’ and ‘B’.

Bioinformatics Programming Using Python by Mitchell L Model Review by Jason Chin — by Bill Deegan — posted on Feb 21, 2010 03:00 PM — —

• oreilly

Comparing to Perl, Python has a quite lagged adoption as the scripting language of choice in the field of bioinformatics, although it is getting some moment recently. If you read job descriptions for bioinformatics engineer or scientist positions a few year back, you barely saw Python mentioned, even as “nice to have optional skill”. One of the reasons is probably lacking of good introductory level bioinformatics books in Python so there are, in general, less people thinking Python as a good choice for bioinformatics. The book “Beginning Perl for Bioinformatics” from O Reilly was published in 2001. Almost one decade later, we finally get the book “Bioinformatics Programming Using Python” from Mitchell Model to fill the gap.

Pragmatic Version Control Using Git by Travis Swicegood Review By William Deegan — by Bill Deegan — posted on Jan 10, 2010 01:00 AM —

Having worked in configuration management for the last 15 years or so, I've been exposed to most of the mainstream version control systems. Recently I've been using BuildBot and found an fixed some bugs. They use the git revision control system (hosted on github), so it was time to learn something new.