- 🔗 Create a real-time interactivity between 🧑🎓students and 👨🏫teachers (through Jupyter notebooks),
- 📈 Serve as as data provider for practical case studies to support courses (data science, physics and IT for now),
- 🤖 Automatic evaluation of students,
- 👨💻 Tools to develop in C/C++/CUDA within a jupyter notebook environement (with a python kernel),
- 🧠 Simple Interfaces with new machine learning trends packages🤗.
With great feed-backs 🚀🏆🎯 from users, there is an on-going effort to industrialize the package.
Bulkhours_eu.mp4
examples/jupyter_notebooks/simple_analysis_visu.ipynb