https://github.com/carpentries-incubator/introduction-to-conda-for-data-scientists

Introduction to Conda for (Data) Scientists
https://github.com/carpentries-incubator/introduction-to-conda-for-data-scientists

alpha carpentries-incubator conda data-science english lesson programming python r

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Introduction to Conda for (Data) Scientists

• Host: GitHub
• URL: https://github.com/carpentries-incubator/introduction-to-conda-for-data-scientists
• Owner: carpentries-incubator
• License: other
• Created: 2019-05-18T11:59:15.000Z (over 5 years ago)
• Default Branch: gh-pages
• Last Pushed: 2023-03-02T18:57:51.000Z (almost 2 years ago)
• Last Synced: 2023-04-04T06:35:47.062Z (almost 2 years ago)
• Topics: alpha, carpentries-incubator, conda, data-science, english, lesson, programming, python, r
• Language: Python
• Homepage: https://carpentries-incubator.github.io/introduction-to-conda-for-data-scientists/
• Size: 2.59 MB
• Stars: 38
• Watchers: 8
• Forks: 33
• Open Issues: 24
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.md
  • Code of conduct: CODE_OF_CONDUCT.md
  • Citation: CITATION

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# Introduction to Conda for (Data) Scientists

This lesson is an introduction to Conda for (data) scientists. 

[Conda](https://docs.conda.io/projects/conda/en/latest/index.html) is  an open source package and 

environment management system that runs on Windows, macOS and Linux. Conda installs, runs, and 

updates packages and their dependencies. Conda easily creates, saves, loads, and switches between 

environments on your local computer. While Conda was created for Python programs it can package 

and distribute software for any languages such as R, Ruby, Lua, Scala, Java, JavaScript, C/ C++, 

FORTRAN. This lesson motivates the use of Conda as a development tool for building and sharing 

project specific software environments that facilitate reproducible (data) science workflows.

## Contributing

We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any

questions, concerns, or experience any difficulties along the way.

We'd like to ask you to familiarize yourself with our [Contribution Guide](CONTRIBUTING.md) and have a look at

the [more detailed guidelines][lesson-example] on proper formatting, ways to render the lesson locally, and even

how to write new episodes.

Please see the current list of [issues](https://github.com/carpentries-incubator/introduction-to-conda-for-data-scientists/issues) for ideas for contributing to this

repository. For making your contribution, we use the GitHub flow, which is

nicely explained in the chapter [Contributing to a Project](http://git-scm.com/book/en/v2/GitHub-Contributing-to-a-Project) in Pro Git

by Scott Chacon.

Look for the tag ![good_first_issue](https://img.shields.io/badge/-good%20first%20issue-gold.svg). This indicates that the mantainers will welcome a pull request fixing this issue.  

## Maintainer(s)

Current maintainers of this lesson are 

* David R. Pugh

## Authors

A list of contributors to the lesson can be found in [AUTHORS](AUTHORS)

## Citation

To cite this lesson, please consult with [CITATION](CITATION)

[lesson-example]: https://carpentries.github.io/lesson-example