IMPRS-gBGC course 'Python' 2017

Category: Skill course
Credit points: 0.2 CP per course day

1. Concept

This course addresses everybody who is interested in learning Python from scratch. The course is organized in three parts: "Basics" on day one and two, "Advanced Analysis with Python" on day three and "Data Visualisation" on day four. Please sign up for the modules that are of interest for you. If you have any question ie. regarding the level of detail feel free to address the instructors.

2. Organizational issues

Instructors: Jacob Nelson, Sujan Koirala
Date: February 28, March 6-7 and March 13-14, 2017
Starting time: 9.00 am
Place: Seminar room B0.002 (MPI-BGC)

3. Agenda

Day	Content
February 28	Overview of commonly used programming languages
9:00 am	Introduction to Python, R, MATLAB and Julia
March 6	Basics
9:00 am	Intallation and package management Python 2 vs. 3 Installation Package management with Anaconda Environments Integrated development environment - spyder
pm	Data types Integers, floats, strings, boolean Lists and dictionaries Arrays Data Cubes
March 7	Basics
am	Structure of a Python Program Writing first code Good practices Writing your own module Adding your programs to the Python path I/O Read data Save data Mathematical operations in NumPy Arrays Matrices Masks
March 13	Advanced Analysis with Python
am	Statistical Analysis SciPy Machine Learning Scikit Learn Pandas
March 14	Data Visualisation
am	MatPlotLib Lines and Scatters Maps Interactive Visualization Bokeh Structure of a figure

4. What you need to prepare

Bring a laptop.

Please also make sure that you can access the internet via WLAN (BGC-users, if you have a BGC-account; BGC-guests, if you don't have an account)

5. Material

Python in Earth Science

6. Feedback

The survey gives feedback of 6 participants. Statistics and statements should not be taken as an exhaustive or exclusive list.