Koalas makes data scientists more productive when interacting with big data, by augmenting Apache Spark’s Python DataFrame API to be compatible with Pandas’.
Pandas is the de facto standard (single-node) dataframe implementation in Python, while Spark is the de facto standard for big data processing. With this package, data scientists can:
Be immediately productive with Spark, with no learning curve, if one is already familiar with Pandas.
Have a single codebase that works both with Pandas (tests, smaller datasets) and with Spark (distributed datasets).
2 maintainers
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2 maintainers
Release files for koalas 0.1.0
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| File | Interpreter | ABI | Platform | Actions Reset |
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| koalas-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for koalas-0.1.0-py3-none-any.whl |
Release files / koalas-0.1.0-py3-none-any.whl
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| Size | 41.7 kB |
| Tags | Python 3 |
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