def get_meta():
return dict(
name="datatable",
version=get_datatable_version(),
summary="Python library for fast multi-threaded data manipulation and "
"munging.",
description="""
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.
""",
keywords=[
"datatable", "data", "dataframe", "frame", "data.table", "munging",
"numpy", "pandas", "data processing", "ETL"
],
# Author details
author="Pasha Stetsenko",
author_email="*****@*****.**",
maintainer="Oleksiy Kononenko",
maintainer_email="*****@*****.**",
home_page="https://github.com/h2oai/datatable",
license="Mozilla Public License v2.0",
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)",
"Operating System :: MacOS",
"Operating System :: Unix",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Topic :: Scientific/Engineering :: Information Analysis",
],
# Runtime dependencies
requirements=[
"typesentry (>=0.2.6)",
"blessed",
"pytest (>=3.1); extra == 'tests'",
"docutils (>=0.14); extra == 'tests'",
"numpy; extra == 'optional'",
"pandas; extra == 'optional'",
"xlrd; extra == 'optional'",
],
requires_python=">=3.5",
)
else:
log.info("Copying %s to %s" % (libpath, trgfile))
shutil.copy(libpath, trgfile)
monkey_patch_compiler()
# Create the git version file
if cmd in ("build", "sdist", "bdist_wheel", "install"):
make_git_version_file(True)
#-------------------------------------------------------------------------------
# Main setup
#-------------------------------------------------------------------------------
setuptools.setup(
name="datatable",
version=get_datatable_version(),
description="Python library for fast multi-threaded data manipulation and "
"munging.",
long_description="""
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.
""",
# The homepage
url="https://github.com/h2oai/datatable",