links.txt

ipython - http://ipython.org/
ipython manual install - http://ipython.org/ipython-doc/stable/install/install.html

diving into open data

https://speakerdeck.com/pyconca/diving-into-open-data-with-ipython-notebook-and-pandas-julia-evans
http://nbviewer.ipython.org/github/jvns/talks/blob/master/pyconca2013/pistes-cyclables.ipynb


baysian methods for hackers 

- http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/#prologue 
- http://nbviewer.ipython.org/github/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/blob/master/Chapter1_Introduction/Chapter1_Introduction.ipynb

Pandas timeseries:

- http://nbviewer.ipython.org/github/changhiskhan/talks/blob/master/pydata2012/pandas_timeseries.ipynb

Trading:

- http://nbviewer.ipython.org/gist/twiecki/3962843

	
Working with Open Data class:

http://nbviewer.ipython.org/github/fperez/blog/blob/master/130507-Berkeley-iSchool-OpenData.ipynb

iJulia preview:

http://nbviewer.ipython.org/url/jdj.mit.edu/~stevenj/IJulia%20Preview.ipynb

Plotly and iPython:

http://nbviewer.ipython.org/gist/cparmer/7628933

iPython book and code: 

http://ipython.rossant.net/


Computational genomics class:

https://github.com/BenLangmead/comp-genomics-class/blob/master/README.md