Intro to python for data analysis

Instructions for participating in the workshop

Download the files for this workshop by clicking on the green "clone or download" button, then "Download ZIP", and unzip. Alternatively, clone the repo.
Start by following the first few notebooks online (here on GitHub), until you'll have your python environment ready.
After that, from the command line, activate your virtual environment, run jupyter notebook and follow along.

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
data		data
figures		figures
package		package
.gitignore		.gitignore
00 - Intro to python.ipynb		00 - Intro to python.ipynb
01 - Installation.ipynb		01 - Installation.ipynb
02 - The absolute basics.ipynb		02 - The absolute basics.ipynb
03 - Notebook tricks.ipynb		03 - Notebook tricks.ipynb
04 - Control flow and data structures.ipynb		04 - Control flow and data structures.ipynb
05 - Functions.ipynb		05 - Functions.ipynb
06 - Reading and writing files.ipynb		06 - Reading and writing files.ipynb
07 - Exception handling.ipynb		07 - Exception handling.ipynb
08 - Modules and packages.ipynb		08 - Modules and packages.ipynb
10 - Intro to pandas.ipynb		10 - Intro to pandas.ipynb
11 - Organising.ipynb		11 - Organising.ipynb
12 - Aggregating.ipynb		12 - Aggregating.ipynb
13 - Visualising.ipynb		13 - Visualising.ipynb
14 - Analysing.ipynb		14 - Analysing.ipynb
15 - Python on EECS servers.ipynb		15 - Python on EECS servers.ipynb
Further reading.ipynb		Further reading.ipynb
LICENSE		LICENSE
README.md		README.md
module.py		module.py
requirements.txt		requirements.txt