Python with Pandas

> How to find us?
On the floor map of campus (http://www.plaene.uzh.ch/BIN/floor/2?z=4&lon=951930.67789381&lat=6009727.472163&f=showAll&w=938&h=1001&m=marker_campus_N) you can see the location of room A.01. There is also a page with detailed directions (http://www.ifi.uzh.ch/ifi/how-to-reach-us.html) to the institute, about 20 min by tram from the main station. Please note that after 18:30 faculty doors are closed. If you're locked out, tweet (https://twitter.com/intent/tweet?url=http%3A%2F%2Ftechup.ch%2F1712%2Fpython-with-pandas&via=loleg&text=I%20too%20want%20to%20save%20pandas%20from%20pythons%20and%20am%20locked%20out!%20Let%20me%20in%20plz.) or call and we will fetch you.

> What are we meeting about? Python has gained a lot of ground with the data science community. While the question of trumping R and other platforms is debatable (https://github.com/hadley/r-python), the interest in using Python for large scale statistical analysis is clearly there - thanks to the ease of getting started with the language, and the uptake of pandas (http://pandas.pydata.org), numpy (http://www.numpy.org/), scipy (http://www.scipy.org/) and matplotlib (http://matplotlib.org/).

> Why should I attend?
We will host a set of brief presentations from the frontlines of data wrangling. You will hear about and get to discuss:

• Using pandas in a script, IPython notebook (http://ipython.org/) or Excel via xlwings (http://xlwings.org/) - to conveniently load and browse data sets big (http://cloudtweaks.com/2013/01/the-lighter-side-of-the-cloud-big-data/) and small (http://www.theguardian.com/news/datablog/2013/apr/25/forget-big-data-small-data-revolution).

• Making plots and interactive visualizations of your data with pandas, matplotlib, or even external tools like D3.js (http://d3js.org/) and Tableau (http://www.tableausoftware.com).

• Waypoints on to more advanced topics, from publishing data online, to performance tuning, machine learning, and beyond.

Bring your data, or dip into open data (http://make.opendata.ch/wiki/): we will make sure you are fully up and running by the end of the evening!