Result for 111CA39FA022DCE015B1E7B438F77513C4DDD63F

Query result

Key Value
FileName./usr/share/doc/python-dask-doc/html/_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.ttf.gz
FileSize90299
MD535644B929C9EF0D9BA7B103F8E6B4C91
SHA-1111CA39FA022DCE015B1E7B438F77513C4DDD63F
SHA-256B51694CC853C5DB3B96715C2097D7F364F88D30558111653D4E08586C55DDFFD
SSDEEP1536:2Dk/CULgMm/Mh91dw8fgO/KO0py1mvchy7KhmP/8ppFx7X7i/M4T9:2QC0RKK0y1mvchyW8UbFRXO7
TLSHT1069312209979694A6CCA3121E33EA542F077BA3BAE07813C5BF5F69DFD3054428E5DC0
hashlookup:parent-total7
hashlookup:trust85

Network graph view

Parents (Total: 7)

The searched file hash is included in 7 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize30218976
MD558D464C6BBC59345701DF9CE304E4C5F
PackageDescriptionDocumentation and examples for PETSc PETSc is the "Portable Extensible Toolkit for Scientific Computation", a suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations. It employs the MPI standard for all message-passing communication. Several sample scientific applications, as well as various papers and talks, demonstrate the features of the PETSc libraries. . This package contains documentation for developing with PETSc 3.15.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepetsc3.15-doc
PackageSectiondoc
PackageVersion3.15.4+dfsg1-1exp7
SHA-1409BE74188CC5C050DD29FC0F82B0E50CD8D8D57
SHA-256B0B0735DDCAC1C778DF9B815C7011CFF26A3A191EFBEBEB9A0967391561D403E
Key Value
FileSize11289620
MD56ED4CF0D82EE0BB52514CBC7EDA238D7
PackageDescriptionNumPy 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.
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython-numpy-doc
PackageSectiondoc
PackageVersion1:1.20.2-1
SHA-1FAEBD52FA4934C557985639CD6F7E4EF1137460E
SHA-2568ED91E9E785D04B76333337F1B1207004486E9AC5308D91588E0385A19954682
Key Value
FileSize26846444
MD51E6E324ADC4FCBB399A026EB18A10FBE
PackageDescriptionscientific 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.
PackageMaintainerDebian Python Team <team+python@tracker.debian.org>
PackageNamepython-scipy-doc
PackageSectiondoc
PackageVersion1.7.1-1
SHA-15F85E905D28EEFF4D761DB41E64626F4F22F719A
SHA-256439936D8812685CA4120ACB1B7D558BB66B98578FCE197BD1AB3C813C51773F6
Key Value
FileSize4035548
MD56AEFA97C518074BBB7340A96E7117392
PackageDescriptionDask Distributed computing documentation Dask.distributed is a lightweight library for distributed computing in Python. It extends both the concurrent.futures and dask APIs to moderate sized clusters. . This contains the documentation
PackageMaintainerDebian Python Team <team+python@tracker.debian.org>
PackageNamepython-distributed-doc
PackageSectiondoc
PackageVersion2022.12.1+ds.1-3
SHA-10ED27356390B0C16E19A53142347BBEFDDAF92FD
SHA-2565B80DF9E6AA4AB160ABF5B5932C23314A7ACE2288159C5608692CCB0317BDB9F
Key Value
FileSize9678540
MD551916ABB5151B40836CC495B2297C5F7
PackageDescriptionMinimal task scheduling abstraction documentation Dask is a flexible parallel computing library for analytics, containing two components. . 1. Dynamic task scheduling optimized for computation. This is similar to Airflow, Luigi, Celery, or Make, but optimized for interactive computational workloads. 2. "Big Data" collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of the dynamic task schedulers. . This contains the documentation
PackageMaintainerDebian Python Team <team+python@tracker.debian.org>
PackageNamepython-dask-doc
PackageSectiondoc
PackageVersion2022.12.1+dfsg-2
SHA-1CE9AD860D74774AA01A349FEF116DB92C09698DA
SHA-25681FC4CC36BFC939ED9FF28C2423D921909CFBEF1AF69055131B79AB69A33B615
Key Value
FileSize2117620
MD5E24CA2B4F7AA864D861FEB9079FF8E96
PackageDescriptiondocumentation 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
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-pydata-sphinx-theme-doc
PackageSectiondoc
PackageVersion0.5.0-2
SHA-19BA51D161FAFEBBB530A61878AD0EC02F12B4CF5
SHA-256599CA9FD602B144D8170F5086C882C6924BF19FA0DFB7680BDC075C23E3A4AB7
Key Value
FileSize2119456
MD578DD761BCC40276168A3C2A6C87B2F0A
PackageDescriptiondocumentation 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
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython-pydata-sphinx-theme-doc
PackageSectiondoc
PackageVersion0.5.0-2
SHA-16A773E5F06E77E3236E387E7562CD42C5D845BB6
SHA-256F2B4A1BAC432EC270B7F885275ED915A6170857D4C8DD5523AC2457F8F7D62CB