https://github.com/sreichl/ds_setup_example

Example project repository to showcase my blog post "A Data Scientist's Guide to a Comprehensive Setup".
https://github.com/sreichl/ds_setup_example

conda data-science github jupyterlab reproducibility snakem

Last synced: about 2 months ago
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Example project repository to showcase my blog post "A Data Scientist's Guide to a Comprehensive Setup".

• Host: GitHub
• URL: https://github.com/sreichl/ds_setup_example
• Owner: sreichl
• License: mit
• Created: 2021-04-04T12:56:02.000Z (about 5 years ago)
• Default Branch: main
• Last Pushed: 2024-11-06T11:11:13.000Z (over 1 year ago)
• Last Synced: 2025-05-05T02:53:58.269Z (about 1 year ago)
• Topics: conda, data-science, github, jupyterlab, reproducibility, snakem
• Language: Jupyter Notebook
• Homepage: http://setup.polytechnist.me
• Size: 39.1 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Data Science Setup Example

The accompanying example repository to my tutorial & resource blog post: ["A Data Scientist's Guide to a Comprehensive Setup"](http://setup.polytechnist.me)

**TL;DR:** This is a tutorial and resource describing an easy, robust, reproducible, language- and platform-agnostic setup for data processing, analysis, and visualization by means of package and environment management (conda); software development with an integrated development environment (JupyterLab); distribution and version control (GitHub); workflow management (Snakemake) and containerization (Singularity).

DockerHub repository: https://hub.docker.com/r/sreichl/ds_setup_example