Python and Jupyter for Science Crashcourse!

🎉 Python and Jupyter for Science Crashcourse: NEW! Modern Data Visualization & Experimental Data Manipulation 🧬💻

Introduction: We believe that Python is the best and modern way to assist you in Science and Engineering, and we would love to teach it to you! With this course, we're not just scratching the surface; we're taking you deep into the heart of Python's libraries and toolboxes used in scientific research. We aim to raise the bar and lift you up on a higher level than most basic Udemy courses do! 🚀

Why This Course? This course offers a really practical approach and we will build real projects. Dive right into the practical work! Don't worry if necessary, we will help with additional information and background knowledge. No special Science knowledge is necessary to follow along! 📚✨

Who Is This For? This course is suitable for Students, Scientists, Engineers, Students, PhDs, and everyone interested in the field of scientific work with Python. It is also perfect for everyone that has to write a thesis and wants to learn how to manipulate and visualize data in the best and most professional way. For Beginners, we offer a basic chapter with an Introduction to Python! 🏫🤝

About Us: Python is one of the most used programming languages, easy to learn, open source, and offers a massive range of libraries for all kinds of tasks. In many jobs, programming is essential nowadays! We both studied Engineering and Science, tried many different tools to analyze data, and we both believe Python is the best way to do it! 🧪💡

What You'll Learn:

• Introduction and Setup: Get started with Software (Anaconda| JupyterNotebooks | Jupyterlab). We've even set up a mybinder server for you to try out Jupyter without any installation! 🛠️📫
• Python Basics: Master the syntax, data types, operators, control structures, modules, importing libraries, and using documentation. 🎓
• Scientific Packages: Learn the ins and outs of Pandas, Matplotlib, Numpy, SciPy, and more! 📈🔬
• Project 1: Analyze Experimental Data (like Resistance of Lithium Ion Batteries) with a full automatic workflow. 🔋📊
• Project 2: Perform a Numerical Simulation (like a Heat Simulation). Manipulate Arrays, create Heat Maps, and build a dashboard with Voila! 🔥📈🌐

Our Commitment: We put a lot of effort into this course, and we hope you like it! 😍 If you have any questions don't hesitate to contact us! We're here to support your learning journey every step of the way. 🤗

Join us on this exciting journey through the world of Python and Jupyter in Science! Let's unlock the potential of data together! 🚀🧾🎉