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pyspark-style-guide
This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
I created a PySpark style guide to help the community write code that's easy to reuse, unit test, and debug. Feel free to open issues / PRs if you have any suggestions / improvements.
For completeness, here is the Palantir PySpark style guide that has different guidance that you might also find interesting.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a more popular project.