python-data-science

The material for the lecture series 'Python for Data Science' 2020 at the TU Dresden.

The course is divided into 5 parts:

1. Python and Jupyter: A Primer
2. Pandas: Data Analysis Library
3. Data Wrangling and Exploratory Data Analysis
4. APIs: Google Trends and Places. Numpy, PyPlot, SciPy and Folium
5. Story telling with Data and Scopus API