Sframe

Latest version: v2.1

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1.8

- SFrame and SArray methods for conversion to NumPy arrays
- Added `__pow__`, `__abs__`, `__neg__`, `__pos__` ops for SArray.
- Added more cumulative aggregates: Avg, Min, Max, Std, Var.
- Added rolling mean for SArray.
- Improved python lambda stability.
- Improved SSL certificate verification for S3 bucket access.
- Bug fixes.

1.6

Scalable tabular (**SFrame**, **SArray**) and graph (**SGraph**) data-structures built for out-of-core data analysis.

The SFrame package provides the complete implementation of:
- SFrame
- SArray
- SGraph
- The C++ SDK surface area (gl_sframe, gl_sarray, gl_sgraph)

Some of the key features of this package are.
- A scalable column compressed disk-backed dataframe optimized for machine learning and data science needs.
- Designed for both **tabular** (SFrame, SArray) as well as **graph** data (SGraph)
- Support for **strictly typed** columns (int, float, str, datetime), **weakly typed** columns (schema free lists, dictionaries) as well as specialized types such as Image.
- Uniform support for **missing data**.
- Query optimization and Lazy evaluation.
- A C++ API (gl_sarray, gl_sframe, gl_sgraph) with direct native access via the C++ SDK.
- A Python API (SArray, SFrame, SGraph) with an indirect access via an interprocess layer.

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