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Data scientists use a range of tools in their work and some of these eventually require programming. This book, titled The Art and Craft of Computer Programming, is a guide to computer programming. It does not focus on a specific programming language, but instead contains the essential material from a first year Computer Science course. The book is available from Amazon.com.…Continue
Deep learning is all the rage. You hear about it in the news, you read it about it in the news and it’s all over popular culture as well. What’s more, it’s revolutionizing the tech industry, as computers…Continue
Added by Malia Keirsey on December 5, 2016 at 12:00pm — No Comments
This post is a brief review of the book 'The Little SAS book' by Delwiche and Slaughter.
I came across this book in my first SAS position. It had been left behind by a former employee, or the company, and was sitting on the shelf of my cubical.
I had no experience with SAS, and all I had to refer to was the existing code in the system and this book.
As the title suggests it's quite a small book in IT terms, the fifth edition is 325 pages.
One benefit of this is…Continue
Added by Mark McIlroy on November 8, 2016 at 12:00am — No Comments
Would you like to wind up an extraordinary coder? Do you have an enthusiasm for PCs however not a careful comprehension of them? Assuming this is the case, this post is for you.
Saying #1: 10,000 Hours
There is a truism that it takes 10,000 hours of accomplishing something to ace it.
In this way, to ace programming, it may take you 10,000 hours of being effectively coding…Continue
Added by Jay Rocket on December 9, 2015 at 4:00am — No Comments
Generally, Java programmers use poi or other open source packages to read and compute Excel data. These open source packages support low-level programming, which increases the overall learning cost and complicates the operation. But with the help of esProc, Java can avoid these problems.…Continue
Added by Jessica May on October 8, 2014 at 12:26am — No Comments
It is common to use R language to group and summarize data of files. Sometimes we may find ourselves processing comparatively big files which have smaller computed result and bigger source data. We cannot load them wholly to the memory when we need to compute them. The only solutions could be batch importing and computing as well as result merging. We’ll use an example in the following to illustrate the way of R language to group and summarize data from big text files.
Here is a file,…Continue