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ETH RDM Workshop Series - Spring 2023

Workshop 4 - Reproducible Scientific Computing and Data Analysis

Learning objectives

Students will learn:

  • Conceptual and practical aspects of computational reproducibility
  • Version control of code as the basis for reproducibility
  • Advantages and pitfalls of computational notebooks
  • Management of computational environments

Prerequisites

In this workshop, we will introduce several tools and platforms for reproducible scientific computing. For some tools, only a web browser is required. Others require installation of software on your own computer. For the hands-on sessions, it is recommended to install these tools beforehand.

  1. Conda

License

The entire content is distributed under Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).