The Art of R Programming : Summary

This book is written by Normal Matloff , a professor who has worked both in the Computer science department and Statistics department at UCLA. Hence this book is markedly different from the books that are available on R. You get a nice blend of views about R. Also the author clearly states in his preface that this book is essentially a book for those “who want to develop software in R”.

The theory that would not die

This is a talk by Sharon Bertsch McGrayne , the author of a fantastic book titled, “The theory that would not die”. My book summary is here . The video lecture @ CMU is worth watching and might motivate someone read the book. [youtube https://www.youtube.com/watch?v=TbV15eUvhM4]

Algorithmic Trading & DMA

This book by Barry Johnson clarifies a lot of terms that we get to hear in the context of trading using computers( program trading , DMA, algorithmic trading, high frequency trading, systematic trading, statistical arbitrage, quantitative trading ). Most of the times, the articles / papers / academic literature don’t make an attempt to clarify what these terms are. So, the reader is left to imagine whatever is convenient to him/her based on the context of the material.

Moonwalking with Einstein : Summary

“Moonwalking with Einstein” is a book recounting the experiences of US Memory Championship winner Joshua Foer, whose day job is NY Times journalist. The book is easy on eyes and can be read in a few hours time. One might shy away from books that deal with memory assuming they are of “self-help” type books . But that’s not the case with this book. This book is a result of curious journalist who happens to cover National and International Memory championships for a couple of times and starts wondering about the participants.

Quote for the day

The problem is that coding isn’t fun if all you can do is call things out of a library, if you can’t write the library yourself. If the job of coding is just to be finding the right combination of parameters, that does fairly obvious things, then who’d want to go into that as a career ? - Peter Siebel( Coders at Work )