This repository includes easy-to-run example notebooks for Dask. They are intended to be educational and give users a start on common workflows.
They should be easy to run locally if you download this repository. They are also available on the cloud by clicking on the link below:
This repository is a great opportunity to start contributing to Dask. Please note that examples submitted to this repository should follow these guidelines:
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Run top-to-bottom without intervention from the user
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Not require external data sources that may disappear over time (external data sources that are highly unlikely to disappear are fine)
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Not be resource intensive, and should run within 2GB of memory
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Be clear and contain enough prose to explain the topic at hand
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Be concise and limited to one or two topics, such that a reader can get through the example within a few minutes of reading
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Be of general relevance to Dask users, and so not too specific on a particular problem or use case
As an example "how to do dataframe joins" is a great topic while "how to do dataframe joins in the particular case when one column is a categorical and the other is object dtype" is probably too specific
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If the example requires a library not included in
binder/environment.ymlthen it would bepipinstalled` in the first cell of the notebook, with a brief explanation about what functionality the library adds. A brief example follows:### Install Extra Dependencies We first install the library X for interacting with Y!pip install X