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Events

Data Carpentry for Social Sciences with Python

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...

GPU Programming

21 Mar /

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,...

Parallel Programming in Python

21 Mar /

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...

Reproducible Computational Environments Using Containers

21 Mar /

This workshop introduces the basic of docker containerization and how to apply it in an academic context. 

Containers allow a researcher to package...

R Packaging

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....

Astronomical Data Science with Python

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...

How to write good code (CodeRefinery)

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...

GPU Programming

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...

Introduction to Deep Learning

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...

Parallel Programming with Python

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...

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