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).
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Release files for koalas 0.1.0
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| koalas-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / koalas-0.1.0-py3-none-any.whl
| Download URL | koalas-0.1.0-py3-none-any.whl |
|---|---|
| Size | 41.7 kB |
| Tags | Python 3 |
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