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python3-networkx-geo-1.11-3.lbn19.noarch: NetworkX is a Python 3 package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. This package provides GDAL I/O support.

python3-networkx-core-1.11-3.lbn19.noarch: NetworkX is a Python 3 package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

python3-networkx-1.11-3.lbn19.noarch: NetworkX is a Python 3 package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

python3-nbsphinx-0.2.9-1.lbn19.noarch: Jupyter Notebook Tools for Sphinx nbsphinx is a Sphinx_ extension that provides a source parser for *.ipynb files. Custom Sphinx directives are used to show Jupyter Notebook_ code cells (and of course their results) in both HTML and LaTeX output. Unevaluated notebooks i.e. notebooks without stored output cells will be automatically executed during the Sphinx build process... _Sphinx: ...

python3-nbformat-4.0.1-1.lbn19.noarch: This package contains the base implementation of the Jupyter Notebook format, and Python APIs for working with notebooks.

python3-nbconvert-4.2.0-1.lbn19.noarch: nbconvert ========= Jupyter Notebook Conversion --------------------------- |Google Group| |Build Status| |Documentation Status| |codecov.io| The **nbconvert** tool, ``jupyter nbconvert``, converts notebooks to various other formats via `Jinja <http://jinja.pocoo.org/>`__ templates. The nbconvert tool allows you to convert an ``.ipynb`` notebook file into various static formats ...

python3-nbbrowserpdf-0.2.0-1.lbn19.noarch: > LaTeX-free PDF generation for Jupyter Notebooks Installation > TODO: pypi package ```shell pip install https://github.com /Anaconda-Server/nbbrowserpdf/archive/master.zip python -m nbbrowserpdf.install ``` Enable the extension for every notebook launch: ```shell python -m nbpresent.install --enable ``` Installing with `conda` will handle the installation and enabling (in ...

python3-murmurhash-0.26.4-1.lbn19.x86_64: .. image:: https://travisci.org/spacyio/murmurhash.svg?branchmaster :target: https://travisci.org/spacyio/murmurhashCython bindings for MurmurHash2

python3-mistune-0.7.3-1.lbn19.x86_64: The fastest markdown parser in pure Python, inspired by marked.

python3-matplotlib-tk-1.5.2-0.1.rc2.lbn19.x86_64: Tk backend for python3-matplotlib

python3-matplotlib-1.5.2-0.1.rc2.lbn19.x86_64: Matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell, web application servers, and six graphical user interface toolkits. Matplotlib tries to make easy things easy and hard things possible. You can generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc, with just a few lines of code.

python3-markdown-2.6.6-1.lbn19.noarch: This is a Python implementation of John Gruber's Markdown. It is almost completely compliant with the reference implementation, though there are a few known issues.

python3-jupyterhub-ldapauthenticator-1.0-1.lbn19.noarch: Simple LDAP Authenticator Plugin for JupyterHub You can install it from pip with: ``` pip install jupyterhub-ldapauthenticator ``` Requirements ## I've only tested with python3 - anyone willing to test with python2 is welcome to do so! There's no reason it shouldn't work. You can enable this authenticator with the folling lines in ...

python3-jupyter_kernel_gateway-1.0.0-1.lbn19.noarch: Jupyter Kernel Gateway is a web server that supports different mechanisms for spawning and communicating with Jupyter kernels, such as:* A Jupyter Notebook servercompatible HTTP API used for requesting kernels and talking the Jupyter kernel protocol <https://jupyterclient.readthedocs.org/en/latest/messaging.html>_ with the kernels over Websockets * A HTTP API defined by annotated notebook ...

python3-jupyter_dashboards-0.6.0-1.lbn19.noarch: This package adds the following features to Jupyter Notebook:* Dashboard layout mode for arranging notebook cell outputs in a gridlike fashion * Dashboard view mode for interacting with an assembled dashboard within the Jupyter Notebook * Ability to share notebooks with dashboard layout metadata in them with other Jupyter Notebook usersSee the project ...

python3-jupyter_core-4.1.0-5.lbn19.noarch: Core common functionality of Jupyter projects. This package contains base application classes and configuration inherited by other projects. It doesn't do much on its own.

python3-jupyter-sphinx-theme-0.0.6-1.lbn19.noarch: jupytersphinxtheme A Jupyter [Sphinx](http://www.sphinxdoc.org/en/stable/) theme for narrative documentation. Installation Install the package using PIP:bash pip install jupyter_sphinx_theme Edit the "conf.py" configuration file to point to the jupyter theme:python At the top. from jupyter_sphinx_theme import * init_theme() ... Comment out the html_theme line


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