Computational Physics: Scientific Programming with Python

From numerical methods to exciting applications: Differential equations, eigenvalue problems, Monte Carlo methods & more
4.66 (961 reviews)
Udemy
platform
English
language
Other
category
Computational Physics: Scientific Programming with Python
7 298
students
21 hours
content
Jan 2024
last update
$84.99
regular price

Why take this course?

🌟 Course Title: Computational Physics: Scientific Programming with Python 🚀

Headline: From Numerical Methods to Exciting Applications: Differential Equations, Eigenvalue Problems, Monte Carlo Methods & More! 📘✨


Course Description:

This course is for everyone who wants to master Python and apply it in the field of physics. Except for some basic school mathematics, no prior knowledge is required. We'll start from the ground up and progressively tackle advanced topics together!

Python has revolutionized the way we approach problems in theoretical and computational physics. It's a powerful tool, accessible yet versatile. But it can be quite overwhelming to learn on your own. Don't worry, you don't have to navigate this journey alone! 🧐➡️🚀


What You'll Learn:

  • Numerical Techniques:
    • Interpolation & Model Fitting
    • Derivatives & Integrals
    • Differential Equations
    • Eigenvalue Problems
    • Monte Carlo Methods (and much more)

These techniques are the keys to unlocking a wide array of problems in physics. They'll enable you to perform calculations, simulations, and analyses that were once out of reach without a deep understanding of mathematical models or specialized software. 🔍💻


Course Highlights:

  • A crash course designed to bring you up to speed with the essentials of Python for scientific programming.
  • Quizzes, exercises, solutions, and hands-on programming sessions to reinforce your learning.
  • Real-life examples that showcase the practical application of the concepts learned:
    • Calculate the magnetic field around a charged wire (integrals & derivatives) 🔧
    • Explore chaos and the butterfly effect (differential equations) 🦋
    • Simulate heat propagation in a material (differential equations) 🔥
    • Model interactions of a spaceship with celestial bodies (differential equations) 🚀
    • Investigate the properties of coupled oscillators (Eigenvalue problems, Fourier analysis & fitting procedure) 🎶
    • Analyze Monte Carlo simulations of ferromagnets & antiferromagnets 🌡️
    • Delve into the special properties of graphene (Advanced science lecture) ⚛️

And many more practical applications to enhance your understanding and skills! 🎉


Why Choose This Course?

My name is Dr. Börge Göbel, and I am a postdoc scientist in theoretical physics. With years of experience as a tutor for Bachelor, Master, and PhD students, I've honed my ability to explain complex concepts in an accessible way. 🎓🧑‍🏫

I've seen firsthand how Python can transform the way you approach scientific problems—it was instrumental in my own research and publications. I am passionate about sharing this knowledge with others and have successfully guided many students through similar learning journeys on Udemy. 📈


Student Testimonial:

"Excellent course, it is just what I was looking for: everything you need to know about Python for solving physics problems from the basics. Very well structured, full of examples and applications to real problems, template files to help you follow the classes and entertaining while instructive explanations." - Adrián Terrones Aragón


I hope this course ignites your curiosity and passion for physics and programming! 🔥✨ Join us on this exciting journey into computational physics with Python. Let's embark on this adventure together! 🚀🔬

Enroll now and unlock the power of Python in physics! 🎉✨

Course Gallery

Computational Physics: Scientific Programming with Python – Screenshot 1
Screenshot 1Computational Physics: Scientific Programming with Python
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Screenshot 2Computational Physics: Scientific Programming with Python
Computational Physics: Scientific Programming with Python – Screenshot 3
Screenshot 3Computational Physics: Scientific Programming with Python
Computational Physics: Scientific Programming with Python – Screenshot 4
Screenshot 4Computational Physics: Scientific Programming with Python

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4426792
udemy ID
02/12/2021
course created date
28/01/2022
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