<div dir="ltr">Thanks for sharing that, Eric!</div><div class="gmail_extra"><br><br><div class="gmail_quote">On Sat, Feb 16, 2013 at 8:03 AM, Eric Floehr <span dir="ltr"><<a href="mailto:eric@intellovations.com" target="_blank">eric@intellovations.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">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:<div>
<br></div><div><a href="https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks" target="_blank">https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks</a><br></div>
<div><br></div><div>
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. <a href="http://ipython.org" target="_blank">ipython.org</a> hosts a free ipython notebook viewer. For example, take a look at this Matplotlib tutorial:</div>
<div><br></div><div><a href="http://nbviewer.ipython.org/urls/raw.github.com/jrjohansson/scientific-python-lectures/master/Lecture-4-Matplotlib.ipynb" target="_blank">http://nbviewer.ipython.org/urls/raw.github.com/jrjohansson/scientific-python-lectures/master/Lecture-4-Matplotlib.ipynb</a><br>
</div><div><br></div><div>Cheers,</div><div>Eric</div><div><br></div></div><div class="HOEnZb"><div class="h5"><div class="gmail_extra"><br><br><div class="gmail_quote">On Wed, Feb 13, 2013 at 10:10 PM, <span dir="ltr"><<a href="mailto:jep200404@columbus.rr.com" target="_blank">jep200404@columbus.rr.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">"Python for Data Analysis" (pfda) and Brandon's presentation in December<br>
have created an itch to play with IPython, but there were<br>
package dependencies that thwarted me until now.<br>
<br>
Here's the recipe I came up with that plays nice at least with<br>
the early part of pfda. I did my installation testing on a live<br>
CD in a virtual machine, because it's easy to go back to its<br>
original state to see if my instructions really have all the<br>
necessary steps, or when I did some magic step that I forgot to<br>
put in the recipe below.<br>
<br>
# 2013-02-13<br>
# Installing Ipython Notebook on<br>
# Xubuntu 12.10 Desktop i386 (used as live CD)<br>
# for Python for Data Analysis<br>
<br>
start_time=`date`<br>
mkdir ~/pfda<br>
cd ~/pfda<br>
sudo apt-get update<br>
# sudo apt-get upgrade<br>
yes | sudo apt-get install python-virtualenv<br>
yes | sudo apt-get install python-dev<br>
yes | sudo apt-get install libfreetype6-dev<br>
yes | sudo apt-get install libpng12-dev<br>
virtualenv env<br>
source env/bin/activate<br>
pip install ipython<br>
pip install tornado<br>
pip install pyzmq<br>
pip install numpy<br>
pip install pandas<br>
pip install matplotlib<br>
echo 'from IPython.external import mathjax; mathjax.install_mathjax();' \<br>
| ipython<br>
echo $start_time<br>
date<br>
# Takes about 20 minutes in VM with one core of 2 GHz Intel T2500.<br>
# Takes about 40 minutes on Intel Atom N270 (X12.10 installed on hard drive)<br>
<br>
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -<br>
<br>
# Get some data. The *usagov_bitly_data2012-03-16-1331923249* file is<br>
# relevant for following along in pfda.<br>
<br>
mkdir data<br>
cd data<br>
wget -x -a log \<br>
<a href="https://github.com/pydata/pydata-book/blob/master/ch02/usagov_bitly_data2012-03-16-1331923249.txt?raw=true" target="_blank">https://github.com/pydata/pydata-book/blob/master/ch02/usagov_bitly_data2012-03-16-1331923249.txt?raw=true</a> \<br>
<a href="http://bitly.measuredvoice.com/bitly_archive/usagov_bitly_data2012-03-16-1331923249" target="_blank">bitly.measuredvoice.com/bitly_archive/usagov_bitly_data2012-03-16-1331923249</a> \<br>
<a href="http://bitly.measuredvoice.com/bitly_archive/usagov_bitly_data2012-11-12-1352761058" target="_blank">bitly.measuredvoice.com/bitly_archive/usagov_bitly_data2012-11-12-1352761058</a> \<br>
<a href="http://bitly.measuredvoice.com/bitly_archive/usagov_bitly_data2013-02-12-1360684158" target="_blank">bitly.measuredvoice.com/bitly_archive/usagov_bitly_data2013-02-12-1360684158</a><br>
cd -<br>
<br>
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -<br>
<br>
# Here's another way of getting a whole bunch of pfda stuff.<br>
<br>
# bitly just recently dropped<br>
# <a href="http://bitly.measuredvoice.com/bitly_archive/usagov_bitly_data2012-03-16-1331923249" target="_blank">bitly.measuredvoice.com/bitly_archive/usagov_bitly_data2012-03-16-1331923249</a>.<br>
# Fortunately, there's a backup on github.<br>
# <a href="https://github.com/pydata/pydata-book/blob/master/ch02/usagov_bitly_data2012-03-16-1331923249.txt?raw=true" target="_blank">https://github.com/pydata/pydata-book/blob/master/ch02/usagov_bitly_data2012-03-16-1331923249.txt?raw=true</a><br>
# Note the .txt ending on the github filename.<br>
<br>
yes | sudo apt-get install git<br>
git clone <a href="https://github.com/pydata/pydata-book" target="_blank">https://github.com/pydata/pydata-book</a> ;# takes about 40.00 MiB<br>
<br>
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -<br>
<br>
# Here's how I invoke the IPython notebook.<br>
# The path is for pasting into the notebook.<br>
<br>
ipython notebook --pylab inline<br>
path = 'data/<a href="http://github.com/pydata/pydata-book/blob/master/ch02/usagov_bitly_data2012-03-16-1331923249.txt?raw=true" target="_blank">github.com/pydata/pydata-book/blob/master/ch02/usagov_bitly_data2012-03-16-1331923249.txt?raw=true</a>'<br>
<br>
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