This course is for everyone who wants to learn and get better in Python and physics.
Except for some school mathematics, no prior knowledge is required. We will start from the basics and climb the ladder up to advanced projects!
Python is an enormously powerful tool and widely used in theoretical and computational physics.
It is not difficult to use but the whole topic can be overwhelming to learn if you are on your own.
In computational physics we use numerical techniques from mathematics, such as:
to solve problems from all areas of physics.
You are kindly invited to join this carefully prepared course that will teach you all you need to know about Python for scientific programming. It includes a crash course, quizzes, exercises, solutions and, of course, hands-on programming sessions in which we will solve real-life examples, such as
Why me?
My name is Börge Göbel and I am a postdoc working as a scientist in theoretical physics.
I have refined my advisor skills as a tutor of Bachelor, Master and PhD students in theoretical physics and have other successful courses here on Udemy.
Especially when I started my PhD, I was impressed how easily you can solve demanding tasks with Python. I have used the program for the results in many of my publications and have recommended Python to all of my students.
“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 you are excited and I kindly welcome you to our course!
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70,00 €
From numerical methods to exciting applications: Differential equations, eigenvalue problems, Monte Carlo methods & more
70,00 €
From numerical methods to exciting applications: Differential equations, eigenvalue problems, Monte Carlo methods & more
