Description
Computational Physics: Scientific Programming with Python, Computational Physics course: Scientific Programming with Python, published by Udemy Academy. This course is for everyone who wants to learn and improve Python and physics. No prior knowledge is required except for a little high school level math. We start from the basics and move step by step to advanced projects. Python is a very powerful tool and is widely used in theoretical and computational physics. It’s not difficult to use, but if you’re self-taught, learning the whole thing can be overwhelming. I work as a lecturer in theoretical physics.
The instructor has honed his skills as an instructor of undergraduate, graduate, and doctoral students in theoretical physics and has created other successful courses at Udemy. Especially when he started his PhD, he was impressed by how easily you can solve difficult problems with Python. He has used Python for his results in many publications and recommends Python to all students. In computational physics, we use numerical techniques of mathematics, such as: interpolation and model fitting, derivatives and integrals, differential equations, eigenvalue problems, Monte Carlo method for Solving problems in all areas of physics.
What you will learn
- Getting Started: An intensive beginner’s course on NumPy, functions, loops, conditionals, lists, arrays, and graphs
- Numerical methods: derivatives and integrals, differential equations and eigenvalue problems, interpolation methods and Monte Carlo
- Exercise in physics problems: moment of inertia, magnetic field of a wire, radioactive decay, harmonic oscillators, free fall, rolling balls
- Application in advanced problems: chaotic system, heat equations, three-body problem, spacecraft mission, coupled pendulums, magnetism, graphene and quantum physics.
Who is this course suitable for?
- This course is for everyone: Python beginners and advanced programmers
- Everyone who likes physics and programming
- Students who want to learn modern physics
- Those who want to prepare for their Computational Physics exam
Details of the Computational Physics: Scientific Programming with Python course
- Publisher: Udemy
- teacher : Borge Göbel
- English language
- Education level: all levels
- Number of courses: 181
- Training duration: 20 hours and 51 minutes
At the beginning of the course seasons on 2023-2
Course prerequisites
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Software: None, I will show you how to install Python which is free.
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Programming: Previous experience is helpful but not required. We start with a 2h crash course.
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School mathematics: Knowing the basics about derivatives & integrals.
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Physics: Helpful but not required.
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
5.9 GB
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