Beginners Scientific Programming with Python

This workshop introduces the basic elements of Python programming language, as well as tools that are commonly used for data cleaning, analysis, visualization, and other applications. Participants will gain the knowledge needed to use Python in everyday tasks. This workshop is intended for scientists who are new to programming. No experience is required.

Please bring your own laptop with:

the Anaconda distribution of Python installed.
- instructions for Windows (https://docs.anaconda.com/anaconda/install/windows/). NOTE (only for Windows users): Please make sure in step 8, under Advanced Options, you check the box Add Anaconda to my PATH environment variable.
- instructions for Linux (https://docs.anaconda.com/anaconda/install/linux/)
- instructions for macOS (https://docs.anaconda.com/anaconda/install/mac-os/)
one of the following text editors installed: Atom(https://atom.io/) or Sublime(https://www.sublimetext.com/3)

The Python standard library likely has everything you need, but we won't stop there. We'll make use of some of the more popular third-party libraries, which will also let us make use of the tool pip for grabbing libraries from the Python Package Index (PyPI).

Content

Here is a list of topics we covered during this workshop:

The basics of writing and running Python scripts
Intro to Jupyter Notebook and Jupyter Lab
Variables and data structure
Arithmetic operations
Loops
Functions
Boolean, Logical operations, and flow control (conditional statements)
Numpy library (data inspection, transformation, and manipulation)
Matplotlib library (visualization)
Pandas library (data analysis with context)
Seaborn library (statistical visualization)

Date, Time, Venue

Data: Monday (02 September 2019) to Thursday (05 September 2019)
Time: 09:00 – 18:00 (Every day)
Venue: Max Planck Institute of Biochemistry, Munich, Germany

Below are some of the figures generated by the participants as the part of the Data Jam in the 4th day:

Additional Learning Resources

Data Science Handbook (Jupyter Notebooks): https://github.com/jakevdp/PythonDataScienceHandbook
Python News Subreddit: https://www.reddit.com/r/python
Python Learning Subreddit (good for asking hard-to-google questions when starting out): https://www.reddit.com/r/learnpython
Meetup (for open interest groups in copenhagen and abroad): www.meetup.com
PyData (for conferences and workshops for further learning): www.pydata.com
EuroScipy (scientific conference for python-using scientists): https://www.euroscipy.org/

Contact