Set up RVM, Ruby, Gem & Jykll to serve a username.github.io blog

Here are the steps I took to set up RVM, Ruby, Gem & Jykll to serve a username.github.io blog on OSX:

# Install RVM (Ruby version manager) 
# Also read: http://rvm.io/rvm/install and check the script before running
curl -sSL https://get.rvm.io | bash -s stable --ruby

# Install Ruby (replace x.y.z with latest stable version of ruby)
rvm install x.y.z
rvm docs generate-ri
rvm use x.y.z --default

# Check other requirements are available for jekyll and install if missing
gem --version
gcc --version
make --version

# Install jekyll
gem install jekyll

# Install bundler and get all dependencies
gem install bundler
bundle install

# Clone an existing jekyll template, this one from BlackrockDigital is nice
git clone https://github.com/BlackrockDigital/startbootstrap-clean-blog-jekyll.git
cd startbootstrap-clean-blog-jekyll
bundle exec jekyll serve

# Periodically update Jekyll to match the GitHub Pages server
bundle update github-pages

Reference:
https://help.github.com/articles/setting-up-your-github-pages-site-locally-with-jekyll/
http://jekyllrb.com/docs/installation/
https://jekyllrb.com/docs/posts/
https://github.com/planetjekyll/awesome-jekyll-editors

Data Science Blogs around the Interwebs

So many great data science/machine learning blogs, so little time!

Company Blogs

http://googleresearch.blogspot.com.au/

https://research.facebook.com/blog/ai/
https://research.facebook.com/blog/datascience/

https://blog.twitter.com/data

http://data.quora.com/

https://engineering.linkedin.com/big-data
http://blog.linkedin.com/topic/economic-graph/

http://www.ebaytechblog.com/category/machine-learning/

http://blogs.aws.amazon.com/bigdata/

http://nerds.airbnb.com/data/

https://codeascraft.com/category/data/  (Etsy)

http://blog.kaggle.com/


Personal Blogs

http://blog.echen.me/ (Edward Chen)

http://fastml.com/ (Zygmunt Zając)

http://flowingdata.com/ (Nathan Yau)

http://simplystatistics.org/ (Jeff Leek, Roger Peng, and Rafa Irizarry)

http://hunch.net/ (John Langford et al.)

http://www.walkingrandomly.com/ (Mike Croucher)


Aggregators and other links

http://www.r-bloggers.com/

https://www.reddit.com/r/machinelearning

http://www.datatau.com/

http://stats.stackexchange.com/