ARCHER, the UK's national supercomputing service, offers training in software development and high-performance computing to scientists and researchers across the UK. As part of our training service we will be running a 2 day 'Scientific Python' training session.
Details
This course is aimed at programmers with basic Python knowledge seeking to learn how to use Python for scientific computing. We will introduce Python's fundamental scientific libraries NumPy, SciPy and Matplotlib. We will also introduce how to interface Python with Fortran and C codes.
Structure
The course will be delivered over two days in person. The course will interleave practical exercises with short lectures and discussions.
Pre-requisites
To attend, you must have some experience of writing code and/or scripts and be familiar with programming concepts including conditionals, loops, arrays and functions. You should also have some basic knowledge of the Python language. For an introduction to Python, please see Code Academy's Python tutorial: https://www.codecademy.com/tracks/python
You should also be comfortable with using the bash shell. For an introduction to the shell, please see, for example Software Carpentry's lessons on Unix Shell: http://software-carpentry.org/v5/novice/shell/
The course will be hands-on, and you should bring your own laptop (you may be asked to install some software before you arrive).
Timetable
Day 1
09:30 - Registration
10:00 - L01 : Introduction
11:00 - Break (tea/coffee)
11:30 - L02 : NumPy
13:00 - Lunch (not provided)
14:00 - L03 : Matplotlib
15:30 - Break (tea/coffee)
16:00 - Exercises
17:30 - end
Day 2
10:00 - L04 : SciPy
11:00 - Break (tea/coffee)
11:30 - L05 : f2py : Fortran/C Interface
13:00 - Lunch (not provided)
14:00 - Exercises
15:30 - Break (tea/coffee)
16:00 - Exercises
17:00 - end
Course hackpad
Course materials
