Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language. And it boasts a rich set of libraries for working with data.
We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research.
Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation (software-carpentry.org).
Please note that places are limited.
EoI applications close on Fri May 24 2019 and applicants will be notified by Fri May 31 2019 whether their application has been successful.
● Programming concepts and techniques.● Basic syntax, control structures and data types in Python.● How to import powerful libraries that support numerical analysis (NumPy) and visualisation (Matplotlib)● Approaches to debugging, testing and defensive programming.● How to blend code, output and documentation with Jupyter notebooks
The detailed course outline can be fount at https://goo.gl/TJN6Bs
WHO SHOULD ATTEND?
All researchers and research students.
This is one of the workshops offered through the Digital Research training program which aims to develop researchers’ digital literacy skills. Further support and resources can be found on the Digital Research website (https://goo.gl/4TGHjF).