A collection of Jupyter notebooks focusing on data processing and analysis of engineering data.
This project was developed as part of the "Python für Ingenieure" module at TU Berlin to teach various data analysis and processing methods, introducing Python in different engineering contexts.
Key focus areas:
- Structured analysis using Jupyter Notebooks
- Implementation of engineering workflows
- Main Language: Python
- Development Environment: Jupyter Notebook
- Data Processing: Pandas, NumPy
- Data Visualization: Matplotlib
- File Formats: CSV, IPYNB
The project consists of multiple homework assignments, practical submissions, and a final project.
Current project structure:
ha00/- Hausaufgabe 0ha01/- Hausaufgabe 1ha02/- Hausaufgabe 2pa03/- Praxisaufgabe 3
Die Project is currently in active development with new submissions being added regularly. The final submission will be the exam.