English | Size: 2.84 GB
Genre: eLearning
What you’ll learn
Solving STEM (science, technology, engineering, and maths) problems with Python
Implementing Monte Carlo methods with NumPy
Solving differential equations with SciPy
Simulating & tracking particle diffusion with OpenCV & SciPy
Estimating parameters and optimization with SciPy
Performing statistical analysis with Pandas
Creating high-quality figures with Matplotlib & Inkscape
This course teaches you how to approach and solve typical problems that occur in science, technology, engineering, and maths (STEM) with Python. You will learn how to master some of the most popular Python packages including
NumPy
Matplotlib
SciPy
Pandas
to efficiently and pragmatically tackle problems like
The implementation of Monte Carlo methods
The solution of multidimensional and coupled differential equations
The prediction and tracking of Brownian motion
The estimation of model parameters using curve fitting and optimization
The statistical analysis of large databases with millions of entries
At the end of the course, you will also learn useful tips and tricks to create high-quality graphics with Python & Inkscape.
I will share with you the experiences that I have gathered during several years of coding in science and at different tech companies solving real-world problems in science, technology, engineering, and maths and help you to become an expert in this field.
The course is designed such that you can follow me coding and tackling the different problems. You are also provided additional tasks to solve independently to dive deeper into the topics and become proficient in solving STEM problems on your own. Nevertheless, I provide you solution files to help you out whenever you get stuck on a problem!
If you are curious about the projects, have some knowledge about advanced maths and Python, this course might be just right for you!
Who this course is for:
Scientists, researchers, or engineers with intermediate Python skills who want to establish themselves as experts in computer-based problem solving in STEM
Intermediate-level Python programmers curious about approaching typical STEM problems
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