[CentralOH] IPython & Notebook on Xubuntu 12.10 Desktop i386

[Eric Floehr]

IPython and specifically IPython Notebook is one of those rare truly new
ideas and I think is going to end up being something very used and useful.
Just today, on the Python in Atmospheric Sciences newgroup I subscribe to,
this Github repository of notable IPython notebooks was referenced:

https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks

The collection of notebooks ranges from scientific to statistical, from
physics to politics. And the coolest thing is you don't even need to
install IPython to view them. ipython.org hosts a free ipython notebook
viewer. For example, take a look at this Matplotlib tutorial:

http://nbviewer.ipython.org/urls/raw.github.com/jrjohansson/scientific-python-lectures/master/Lecture-4-Matplotlib.ipynb

Cheers,
Eric



On Wed, Feb 13, 2013 at 10:10 PM, <jep200404 at columbus.rr.com> wrote:

> "Python for Data Analysis" (pfda) and Brandon's presentation in December
> have created an itch to play with IPython, but there were
> package dependencies that thwarted me until now.
>
> Here's the recipe I came up with that plays nice at least with
> the early part of pfda. I did my installation testing on a live
> CD in a virtual machine, because it's easy to go back to its
> original state to see if my instructions really have all the
> necessary steps, or when I did some magic step that I forgot to
> put in the recipe below.
>
> # 2013-02-13
> # Installing Ipython Notebook on
> # Xubuntu 12.10 Desktop i386 (used as live CD)
> # for Python for Data Analysis
>
> start_time=`date`
> mkdir ~/pfda
> cd ~/pfda
> sudo apt-get update
> # sudo apt-get upgrade
> yes | sudo apt-get install python-virtualenv
> yes | sudo apt-get install python-dev
> yes | sudo apt-get install libfreetype6-dev
> yes | sudo apt-get install libpng12-dev
> virtualenv env
> source env/bin/activate
> pip install ipython
> pip install tornado
> pip install pyzmq
> pip install numpy
> pip install pandas
> pip install matplotlib
> echo 'from IPython.external import mathjax; mathjax.install_mathjax();' \
> | ipython
> echo $start_time
> date
> # Takes about 20 minutes in VM with one core of 2 GHz Intel T2500.
> # Takes about 40 minutes on Intel Atom N270 (X12.10 installed on hard
> drive)
>
> - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
> - - -
>
> # Get some data. The *usagov_bitly_data2012-03-16-1331923249* file is
> # relevant for following along in pfda.
>
> mkdir data
> cd data
> wget -x -a log \
>
> https://github.com/pydata/pydata-book/blob/master/ch02/usagov_bitly_data2012-03-16-1331923249.txt?raw=true\
>
> bitly.measuredvoice.com/bitly_archive/usagov_bitly_data2012-03-16-1331923249\
>
> bitly.measuredvoice.com/bitly_archive/usagov_bitly_data2012-11-12-1352761058\
>
> bitly.measuredvoice.com/bitly_archive/usagov_bitly_data2013-02-12-1360684158
> cd -
>
> - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
> - - -
>
> # Here's another way of getting a whole bunch of pfda stuff.
>
> # bitly just recently dropped
> #
> bitly.measuredvoice.com/bitly_archive/usagov_bitly_data2012-03-16-1331923249
> .
> # Fortunately, there's a backup on github.
> #
> https://github.com/pydata/pydata-book/blob/master/ch02/usagov_bitly_data2012-03-16-1331923249.txt?raw=true
> # Note the .txt ending on the github filename.
>
> yes | sudo apt-get install git
> git clone https://github.com/pydata/pydata-book ;# takes about 40.00 MiB
>
> - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
> - - -
>
> # Here's how I invoke the IPython notebook.
> # The path is for pasting into the notebook.
>
> ipython notebook --pylab inline
> path = 'data/
> github.com/pydata/pydata-book/blob/master/ch02/usagov_bitly_data2012-03-16-1331923249.txt?raw=true
> '
>
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