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The requirements for the data science class that I'm taking include having access to R, Python, SQL and GitHub. As I'm already familiar with R, Python, and SQL, my goal tonight was to get started with GitHub. According to Wikipedia, "GitHub is a web-based hosting service for software development projects that use theGit revision control system. GitHub offers both paid plans for private repositories, and free accounts for open source projects. As of May 2011, GitHub was the most popular open source code repository site.[3]"

So, basically people come together on this website and share code... if you don't want to pay, you agree to have your code (in your "repository") available as open source. The future is Crowd Sourcing...


and speaking of the future, I think this chart from the GitHub website is an interesting reference for those looking to figure out what programming languages they should be working on if they want to remain competitive in the future:



Obviously these "stats" are quite dynamic (what people use when it comes to computing changes at near light speed); however, it's at least a starting point for people who want to begin diving into the world of computer programming. Also, the sample base of users is not exactly random (the people who are involved with GitHub are likely more technical than your average user), but if you want to enter the world of Comp Sci and contribute your great mind to the open source community, the above languages are likely worth your perusal. 

Personally, I have the most experience with Python (and R, though it's not listed here)... at least an intermediate level of knowledge. I've worked with Objective-C (I am a Mac user), and (a looooong time ago) I used to write a lot of JavaScript; also, I took a CS course in 2000 that was heavily based in C++ but I haven't touched that language much since about 2003. 

I'm interested to learn more about NoSQL and Tableau, which apparently we will be introduced to in this class...


woot woot!
-time for bed

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