The material for the lecture series 'Python for Data Science' 2020 at the TU Dresden.
The course is divided into 5 parts:
- Python and Jupyter: A Primer
- Pandas: Data Analysis Library
- Data Wrangling and Exploratory Data Analysis
- APIs: Google Trends and Places. Numpy, PyPlot, SciPy and Folium
- Story telling with Data and Scopus API