The goal of this tutorial is to introduce researchers to bash and scripting. It is a short tutorial that shows major concepts with use cases related to research work.
This tutorial is comprised of a series of Jupyter notebooks with simple demonstrations and exercises on how to use
CLASS using python wrappers. The code is designed for non-experts in the field, therefore it includes relatively simple explanations of cosmological concepts. It intends to show a general overview of the things that are possible with Einstein-Boltzmann codes and python.
This tutorial provides tips on how to adapt presentations for different goals. The tutorial is mainly meant for scientists, but several tips can be useful for other types of talks.
This tutorial demonstrates how to create a Docker container to distribute a complete Jupyter notebook environment.
This intends to be a first introduction to TensorFlow 2.0 not as much from a machine learning point of view but from an optimization and inverse problem perspective.
This tutorial aims to help newcomers learn C++ and solve their programming problems.