Metadata-Version: 2.0
Name: datatable
Version: 0.5.0
Summary: Python library for fast multi-threaded data manipulation and munging.
Home-page: https://github.com/h2oai/datatable
Author: Pasha Stetsenko
Author-email: pasha@h2o.ai
License: Mozilla Public License v2.0
Keywords: datatable,data,dataframe,frame,data.table,munging,numpy,pandas,data processing,ETL
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Python: >=3.5
Provides-Extra: testing
Requires-Dist: blessed
Requires-Dist: llvmlite (>=0.20.0,<0.21.0)
Requires-Dist: typesentry (>=0.2.4)
Provides-Extra: testing
Requires-Dist: pytest (>=3.1); extra == 'testing'
Requires-Dist: pytest-benchmark (>=3.1); extra == 'testing'
Requires-Dist: pytest-cov; extra == 'testing'
Requires-Dist: pytest-ordering (>=0.5); extra == 'testing'


This is a Python package for manipulating 2-dimensional tabular data
structures (aka data frames). It is close in spirit to pandas or SFrame;
however we put specific emphasis on speed and big data support. As the
name suggests, the package is closely related to R's data.table and
attempts to mimic its core algorithms and API.

See https://github.com/h2oai/datatable for more details.


