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# DataHaskell
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Welcome to the <ahref="http://www.datahaskell.org">**dataHaskell**</a> documentation page.
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Welcome to the <ahref="https://www.datahaskell.org">**dataHaskell**</a> documentation page.
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DataHaskell is:
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* A collaborative network of maintainers, users, researchers, and educators.
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* A <ahref="http://www.datahaskell.org/docs/community/current-environment.html">curated ecosystem of libraries</a> for data access, numerics, ML, visualization, and tooling.
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* A <ahref="httsp://www.datahaskell.org/docs/community/current-environment.html">curated ecosystem of libraries</a> for data access, numerics, ML, visualization, and tooling.
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* A supportive space to learn, teach, and build together.
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We coordinate work across many projects and orgs. You don’t have to be an expert—curiosity is enough.
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### How to Participate
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Pick a path that suits your energy and time:
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* Try it out: <ahref="http://www.datahaskell.org/docs/getting_started/using-the-current-environment.html">get started</a> with the DataHaskell stack and port some of your workflows to DataHaskell.
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* Engage the material: Read through some <ahref="http://www.datahaskell.org/docs/tutorial/linear-regression.html">tutorials</a> and give feedback on them.
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* Try it out: <ahref="https://www.datahaskell.org/docs/getting_started/using-the-current-environment.html">get started</a> with the DataHaskell stack and port some of your workflows to DataHaskell.
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* Engage the material: Read through some <ahref="https://www.datahaskell.org/docs/tutorial/linear-regression.html">tutorials</a> and give feedback on them.
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* Ask & answer questions: help someone today in Discord or Discourse.
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* Improve docs: fix a typo, add an example, or clarify a concept.
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* Triage issues: label, reproduce, and suggest next steps.
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