Course/Event Essentials
Event/Course Start
Event/Course End
Event/Course Format
Online
Live (synchronous)
Primary Event/Course URL
Training Content and Scope
Scientific Domain
Technical Domain
Level of Instruction
Intermediate
Sector of the Target Audience
Research and Academia
Industry
Public Sector
HPC Profile of Target Audience
Application Developers
Language of Instruction
Other Information
Organiser
Supporting Project(s)
EuroCC2/CASTIEL2
Event/Course Description
Topics covered
Python is a nice programming language for scientific programming. Many high quality libraries are available as building block in a wide variety of scientific domains. In this training we will concentrate on the core libraries, and give some examples of domain specific libraries.
Subject and Python modules that will be covered:
- multi-dimensional arrrays and algorithms on these data structures: numpy
- methods & algorithms useful for scientific programming, e.g., linear algebra, Fourier transforms, statistics, optimization, root finding, signal processing: scipy
- symbolic computing: sympy
- creating many types of plots: matplotlib
- portable file formats for scientific data: e.g., HDF5
- image processing: scikit-image
Previous knowledge
Experience in Python programming.