How to create your ipython datascience notebook server fast?

ipython [notebook] is a powerful tool to share notes.

Here is how to start an ipython private notebook server:

1. Install anaconda python distribution https://store.continuum.io/cshop/anaconda/
2. ipython notebook --pylab inline (works directly with anaconda python distribution)
3. localhost:9000 (*open your favorite browser)

*If need to run it on a restricted server: set port forwarding localhost:9000 -> 8888 (so you can use a normal browser)

Here is how to start a public ipython notebook on the grid:

• ipython profile create nbserver
• cd /home/$USER/.ipython/profile_nbserver/
• gen password: ipython;from IPython.lib import passwd; passwd()
• openssl req -x509 -nodes -days 365 -newkey rsa:1024 -keyout mycert.pem -out mycert.pem
• edit ~/.ipython/profile_nbserver/ipython_notebook_config.py
  • c = get_config()
  • c.NotebookApp.password = u'sha1:XXXXXXXXXXXXXX'
  • c.IPKernelApp.pylab = 'inline'  # if you want plotting support always
  • # Notebook config
  • c.NotebookApp.certfile = u'mycert.pem'
  • c.NotebookApp.ip = '*'
  • c.NotebookApp.open_browser = False
  • # It is a good idea to put it on a known, fixed port
  • c.NotebookApp.port = 8888
• ipython notebook --profile=nbserver

How can you share notebooks?

1. Create a public notebook (B)
2. Leverate nbviewer.ipython.org with github. Your ipynb files will be rendered on nbviewer.ipython.org if you commit on github like this: http://nbviewer.ipython.org/github/fraka6/trading-with-python/blob/master/notebooks/explore_automatic_trading.ipynb
3. use sense.io (Sense is a collaborative platform to accelerate data science from exploration to production.)   https://sense.io/fraka6/trade/consoles/m7o1rbcrfwevlsra/raw

notes:

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Running a public notebook server: Running a notebook server — IPython 1.2.1: An Afternoon Hack documentation