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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 |
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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 | 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> |
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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> |
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