dask/dask-examples

Dask Bag examples

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#46 opened on Sep 26, 2018

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good first issuehelp wanted

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Description

We currently lack dask bag examples in this repository. Two come to mind:

  1. Read JSON data, and do some groupby aggregation with both Bag.groupby and Bag.foldby
  2. Read text data and do some basic wordcount

For the JSON data it might make sense to add a dataset generation tool for nested records data, similar to dask.datasets.timeseries, and then use that to generate JSON data to disk, similar to how we generate CSV data in http://examples.dask.org/dataframes/01-data-access.html#Create-artificial-dataset.

We would then read the JSON data, and do some minimal processing.

For the text data I wonder if there is an online dataset we can download. I suspect that the complete works of shakespeare is around somewhere. We might do a simple thing like read, split, frequencies. Or we might do more complex work afterwards by bringing in NLTK, stemming words, removing stopwords, etc..

Contributor guide

Research direction
Examine existing Dask Bag documentation and similar example notebooks in the repository. For the JSON example, create a small dataset generator similar to dask.datasets.timeseries and write JSON to disk. For the text example, download a public domain text like Shakespeare's works and implement a word count with Bag operations. Use Dask's groupby and foldby for aggregation.
Tech stack
python
Domain
datadocumentation
Issue type
Documentation
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Half day
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Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonGit
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
70