Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	1070516
MD5	A027CD10F5F0B678343BA67BD5A9A269
PackageDescription	bootstrap-based Sphinx theme from the PyData community Originally developed for the pandas docs, work is being done to make this more generic and more easily extensible to suit the needs of the different projects; noteworthy project using this theme: . * Pandas: https://pandas.pydata.org/docs/ * NumPy: https://numpy.org/devdocs/ * Bokeh: https://docs.bokeh.org/en/dev/ * JupyterHub and Binder: https://docs.mybinder.org/, http://z2jh.jupyter.org/en/latest/, https://repo2docker.readthedocs.io/en/latest/, https://jupyterhub-team-compass.readthedocs.io/en/latest/ * Jupyter Book beta version uses an extension of this theme: https://beta.jupyterbook.org * Fairlearn: https://fairlearn.github.io/master/quickstart.html
PackageMaintainer	Sandro Tosi <morph@debian.org>
PackageName	python3-pydata-sphinx-theme
PackageSection	python
PackageVersion	0.5.0-2
SHA-1	9B7F278EEB452DF8C4343B17719B921B6F67A344
SHA-256	3F5270F0930AFBD27A0A909E49111EDDFDF0423239F145C55CF17405651222A2

Key	Value
FileSize	11289620
MD5	6ED4CF0D82EE0BB52514CBC7EDA238D7
PackageDescription	NumPy documentation Numpy contains a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities. . Numpy replaces the python-numeric and python-numarray modules which are now deprecated and shouldn't be used except to support older software. . This package contains documentation for Numpy and f2py.
PackageMaintainer	Sandro Tosi <morph@debian.org>
PackageName	python-numpy-doc
PackageSection	doc
PackageVersion	1:1.20.2-1
SHA-1	FAEBD52FA4934C557985639CD6F7E4EF1137460E
SHA-256	8ED91E9E785D04B76333337F1B1207004486E9AC5308D91588E0385A19954682

Key	Value
FileSize	1070396
MD5	C2596075F0FFA0B877EE709772001501
PackageDescription	bootstrap-based Sphinx theme from the PyData community Originally developed for the pandas docs, work is being done to make this more generic and more easily extensible to suit the needs of the different projects; noteworthy project using this theme: . * Pandas: https://pandas.pydata.org/docs/ * NumPy: https://numpy.org/devdocs/ * Bokeh: https://docs.bokeh.org/en/dev/ * JupyterHub and Binder: https://docs.mybinder.org/, http://z2jh.jupyter.org/en/latest/, https://repo2docker.readthedocs.io/en/latest/, https://jupyterhub-team-compass.readthedocs.io/en/latest/ * Jupyter Book beta version uses an extension of this theme: https://beta.jupyterbook.org * Fairlearn: https://fairlearn.github.io/master/quickstart.html
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-pydata-sphinx-theme
PackageSection	python
PackageVersion	0.5.0-2
SHA-1	166E92E606E038BDB401633AF8ECEF12E7527988
SHA-256	B9060DAFF08FC1721A4ED97C529E31F41EDA94D3C2EB5DB9DF4C598E077E68CC

Key	Value
FileSize	26846444
MD5	1E6E324ADC4FCBB399A026EB18A10FBE
PackageDescription	scientific library for Python - documentation SciPy supplements the popular NumPy module (python-numpy package), gathering a variety of high level science and engineering modules together as a single package. . SciPy is a set of Open Source scientific and numeric tools for Python. It currently supports special functions, integration, ordinary differential equation (ODE) solvers, gradient optimization, genetic algorithms, parallel programming tools, an expression-to-C++ compiler for fast execution, and others. . This package contains documentation for the SciPy library.
PackageMaintainer	Debian Python Team <team+python@tracker.debian.org>
PackageName	python-scipy-doc
PackageSection	doc
PackageVersion	1.7.1-1
SHA-1	5F85E905D28EEFF4D761DB41E64626F4F22F719A
SHA-256	439936D8812685CA4120ACB1B7D558BB66B98578FCE197BD1AB3C813C51773F6

Key	Value
FileSize	2117620
MD5	E24CA2B4F7AA864D861FEB9079FF8E96
PackageDescription	documentation for the pydata-sphinx-theme Python library Originally developed for the pandas docs, work is being done to make this more generic and more easily extensible to suit the needs of the different projects; noteworthy project using this theme: . * Pandas: https://pandas.pydata.org/docs/ * NumPy: https://numpy.org/devdocs/ * Bokeh: https://docs.bokeh.org/en/dev/ * JupyterHub and Binder: https://docs.mybinder.org/, http://z2jh.jupyter.org/en/latest/, https://repo2docker.readthedocs.io/en/latest/, https://jupyterhub-team-compass.readthedocs.io/en/latest/ * Jupyter Book beta version uses an extension of this theme: https://beta.jupyterbook.org * Fairlearn: https://fairlearn.github.io/master/quickstart.html . This package provides documentation for pydata-sphinx-theme
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-pydata-sphinx-theme-doc
PackageSection	doc
PackageVersion	0.5.0-2
SHA-1	9BA51D161FAFEBBB530A61878AD0EC02F12B4CF5
SHA-256	599CA9FD602B144D8170F5086C882C6924BF19FA0DFB7680BDC075C23E3A4AB7

Key	Value
FileSize	2119456
MD5	78DD761BCC40276168A3C2A6C87B2F0A
PackageDescription	documentation for the pydata-sphinx-theme Python library Originally developed for the pandas docs, work is being done to make this more generic and more easily extensible to suit the needs of the different projects; noteworthy project using this theme: . * Pandas: https://pandas.pydata.org/docs/ * NumPy: https://numpy.org/devdocs/ * Bokeh: https://docs.bokeh.org/en/dev/ * JupyterHub and Binder: https://docs.mybinder.org/, http://z2jh.jupyter.org/en/latest/, https://repo2docker.readthedocs.io/en/latest/, https://jupyterhub-team-compass.readthedocs.io/en/latest/ * Jupyter Book beta version uses an extension of this theme: https://beta.jupyterbook.org * Fairlearn: https://fairlearn.github.io/master/quickstart.html . This package provides documentation for pydata-sphinx-theme
PackageMaintainer	Sandro Tosi <morph@debian.org>
PackageName	python-pydata-sphinx-theme-doc
PackageSection	doc
PackageVersion	0.5.0-2
SHA-1	6A773E5F06E77E3236E387E7562CD42C5D845BB6
SHA-256	F2B4A1BAC432EC270B7F885275ED915A6170857D4C8DD5523AC2457F8F7D62CB