Course Description
This course address modern python practices and tools for scientific and practical numerical computations. It covers all aspects of the master, from control, signal and image processing and statistical learning and serve has a support for more advanced use in the rest of the program. Students will learn how to use potential of python and the widely used library. The courses suppose a minimal knowledge in programming and python language. Teaching is mainly done in the form of practical courses to enable students to become fully operational.
Outline
- Advanced refresher course
- Classes and OOP, types, interpreter, scientific stack
- Project management, reproducibility, numerical format
- Modern tooling
- Linear algebra
- Optimisation resolution problem
- ODE resolution
- Image & signal processing, signal representation and transformation
- Acceleration and parallelisation
- Symbolic computation
