21 Mar /
Data Carpentry workshops teach the fundamental data skills needed to conduct research. The target audience are researchers who have little to no prior computational experience. The workshops...
From deep learning to high-performance computing, Graphics Processing Units (GPUs) are nowadays an important tool for scholars and research software engineers alike. Parallel in nature,...
Photo by Bence Boros on Unsplash
Python is one of the most widely used languages to do scientific data analysis, visualization, and even modelling and simulation. The...
This workshop introduces the basic of docker containerization and how to apply it in an academic context.
Containers allow a researcher to package...
17 Feb /
This workshop will provide participants with the basics for writing their own packages in R.
R packages are no more and no less than a standard way of structuring your work....
16 Feb /
This workshop teaches the basics of how to deal with large online datasets in astronomy.
Astronomical Data Science with Python covers a range of core concepts necessary to efficiently...
25 Jan /
CodeRefinery workshops teach good software practices, tools and skills for efficiently developing and maintaining research software.
The key objective of a CodeRefinery workshop is...
19 Jan /
This workshop introduces the fundamental knowledge needed to start programming GPUs using Python and CUDA.
From deep learning to high-performance computing, Graphics Processing...
05 Jan /
The Digital Skills programme at the Netherlands eScience Center focuses on the foundational digital skills needed to put reproducible research into practice. The workshops we run cover the...
16 Dec /
Python is one of most widely used languages to do scientific data analysis, visualization, and even modelling and simulation. The popularity of Python is mainly due to the two pillars of a...
