Spotlight
🌟 Spotlight: What’s Next?
Congratulations — you have successfully completed the Base Python course!
You now have a solid foundation in programming concepts like variables, data types, control flow, functions, and even object-oriented programming.
But remember: Learning Python doesn’t end here!
The true power of Python unfolds when you start applying it to real-world problems: data analysis, automation, web development, machine learning, and more.
✨ Keep exploring, keep building, and stay curious.
Your Python journey has just begun — and the possibilities are endless!
📚 Recommended Books
-
Python Crash Course by Eric Matthes
A practical and beginner-friendly introduction to Python with projects. -
Automate the Boring Stuff with Python by Al Sweigart
Learn how to use Python to automate everyday tasks — fun and very practical.
💻 Working with Jupyter at Marburg University
At Philipps-Universität Marburg, Jupyter notebooks are widely used in courses and practical labs.
They allow you to combine code, text, images, and visualizations all in one document — ideal for experimenting and sharing results.
If you are a student at Marburg, you can access Jupyter via:
- The JupyterHub service provided by the university (e.g., through central computer pools or course-specific servers).
- Local installation on your own laptop, using Anaconda or
pip install notebook.
Tip: Jupyter is perfect for step-by-step explanations and trying out code snippets from this course.
🌐 Useful Online Resources
- Official Python Documentation — The official reference for Python syntax and standard library.
- Online Python — Run and test Python code directly in your browser without installing anything.
- Real Python — Tutorials, articles, and videos for all levels.
- Python Tutor — Visualize code execution step by step.
🚀 Final words
Stay curious, keep trying things out, and connect with others. You learn the most by just starting and sticking with it.
Good luck on your Python journey! 💪🐍