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hashlookup:trust | 85 |
The searched file hash is included in 7 parent files which include package known and seen by metalookup. A sample is included below:
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PackageDescription | Documentation 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. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | petsc3.15-doc |
PackageSection | doc |
PackageVersion | 3.15.4+dfsg1-1exp7 |
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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 |
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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 |
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PackageDescription | Dask 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 |
PackageMaintainer | Debian Python Team <team+python@tracker.debian.org> |
PackageName | python-distributed-doc |
PackageSection | doc |
PackageVersion | 2022.12.1+ds.1-3 |
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PackageDescription | Minimal 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 |
PackageMaintainer | Debian Python Team <team+python@tracker.debian.org> |
PackageName | python-dask-doc |
PackageSection | doc |
PackageVersion | 2022.12.1+dfsg-2 |
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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 |
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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 |
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