1.1. Course Description:
1.1.1.1. 🎓 Learn Python for Personal and Academic Projects! 🐍
Developed by students in the LDV Department, this engaging online block course is designed to equip you with essential Python programming skills. 🚀
Our aim is simple: Provide students with essential Python programming skills to tackle their projects confidently. The curriculum covers foundational concepts
and progresses towards data analysis and basic machine learning.🎯
Enroll today and unlock the power of Python! Let's dive into the world of coding together! 🎉
The workshop will start on 25 November.
Workshop hours: Tuesday and Thursday at 16:30
Course Content:
Week 1: Python Basics I
Week 2: Python Basics II
Week 3: 📊 Numerical Computing&Data Analysis
- L5: Numpy for Numerical Computing
- L6: Pandas for Data Analysis
Week 4: 🤖 Data Visualisation and Machine Learning
- L7: Data Visualization: Matplotlib & Seaborn
- L8: Introduction to Machine Learning
Before each session, we'll share the course content and the Zoom link on this website. Stay connected and never miss a beat! 💻
1.2. 
Registration Form
Are you interested? Register here and don't miss out on this excellent opportunity.
Registration does not work via the mobile view! Try it via the desktop view or use a PC.
PS: You will not be receiving ECTS for this workshop. However, you will get to learn Python which can be equally nice!
1.3. Installation and Setup
Please Install Python and VSCode before the first session!
Installation and setup instructions are provided here: L0: Installation and Setup
If you encounter problems do not hesitate to contact us. During and after the first session we'll provide help for setting up your development environment.
1.4. Zoom Link
-------------------------------------------------------------------------------------------------------------------------------------------
Zoom:
Thema: LDV Daedalus Python Workshop Session 5: Numpy for Numerical Computing
Zeit: 9.Dez. 2025 04:30 PM Amsterdam, Berlin, Rom, Stockholm, Wien
An Zoom-Meeting teilnehmen
https://tum-conf.zoom-x.de/j/62957187690?pwd=whKyTiwrwQW1Atr9WGfDDFaMaatCk3.1
Meeting-ID: 629 5718 7690
Kenncode: 712164
-------------------------------------------------------------------------------------------------------------------------------------------