/\ /\ //\\_//\\ ____ _____ _ __ ___ \_ _/ / / | __ \ | | \ \ / (_) / * * \ /^^^] | | | | __ _| |_ __ \ \ / / _ ____ \_\O/_/ [ ] | | | |/ _` | __/ _` \ \/ / | |_ / / \_ [ / | |__| | (_| | || (_| |\ / | |/ / \ \_ / / |_____/ \__,_|\__\__,_| \/ |_/___| [ [ / \/ _/ _[ [ \ /_/
This course is taught as part of the ESILV master's degree.
Please follow the installation instructions in get_started.md
to install
required softwares. The course will be taught in Python, the main language
for data manipulation alongside R and Matlab.
Each chapter is supposed to be done in ~3 hours.
- Set up & usage of
jupyter notebook
. - Lesson 1:
- Introduction to
numpy
, a scientific computing package
- Introduction to
- Lesson 2:
- Introduction to
matplotlib
, a 2d plotting library - Introduction to
pandas
, a package providing data structures and analysis tools.
- Introduction to
- Lesson 1:
- Introduction to
geopandas
, apandas
extension to work with geospatial data usingshapely
andmatplotlib
. - Usage of
shapely
, a package providing geometric objects and operations.
- Introduction to
- Lesson 2:
- Advanced usage of
pandas.DataFrame
methods. - Advanced usage of
matplotlib
methods.
- Advanced usage of