Booking for this course is through the IT Training Unit. Click here to book
This workshop is aimed at people who want to learn how to use Python for Scientific Computing tasks. The workshop will give an introduction to Python’s main Scientific libraries (Scipy, Numpy and Matplotlib) and will also cover how to link existing C and Fortran codes and subroutines within your Python code. All exercises will use Python 3. This would be an ideal course to attend before ‘High Performance Python’.
At the end of the workshop, attendees will be able to:
A recap on Python data types
Numpy: arrays, matrices and linear algebra
Numpy: random numbers
Numpy: Fourier transforms and polynomials
Scipy: Linear Algebra and wrappers to LAPACK & BLAS
Scipy: Numerical Integration
Scipy: Special functions
Matplotlib: interactive and non-interactive plotting
Matplotlib: producing publication-quality figures
Matplotlib: creating diagrams
Interfacing to C and Fortran
This workshop is aimed at people who can already program in Python at an intermediate level (with a knowledge of loops, functions and ‘if’ statements). If you need to learn how to program in Python, please attend SWD1a: Introduction to Python programming.
This workshop usually runs once each academic year.
If you would like a bespoke version of this course run in your department then please contact us.
Research postgraduate students and above; teaching and lecturing staff.