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python3-intervaltree-3.1.0-5.fc36.noarch
A mutable, self-balancing interval tree for Python. Queries may
be by point, by range overlap, or by range envelopment.
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python3-itsdangerous-2.2.0-1.lbn36.noarch
Itsdangerous is a Python library for passing data through untrusted
environments (for example, HTTP cookies) while ensuring the data is not
tampered with.
Internally itsdangerous uses HMAC and SHA1 for signing by default and bases the
implementation on the Django signing module. It also however supports JSON Web
Signatures (JWS).
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python3-jinja2-time-0.2.0-17.fc36.noarch
Jinja2 Extension for Dates and Times.
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python3-jpype1-1.4.1-1.lbn36.x86_64
.. image:: doc/logo.png :scale: 50 %JPype |implementation| |pyversions|
|javaversions| |jvm| |platform| |license|JPype is a Python module to provide
full access to Java from within Python. It allows Python to make use of Java
only libraries, exploring and visualization of Java structures, development and
testing of Java libraries, scientific computing, and much more. By gaining the
best of...
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python3-json-merge-patch-0.2-1.lbn36.noarch
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python3-jsondate-0.1.2-1.lbn36.noarch
========
jsondate
========
Sick of rewriting the same JSON datetime handling code for each project?
``jsondate`` is a drop-in replacement for Python's standard ``json`` library
that
adds sensible handling of ``datetime`` and ``date`` objects.
``jsondate`` uses ISO8601 for encoding ``datetime`` objects and the
date-specific part of ISO6801 for encoding ``date`` objects.
Example::
...
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python3-jsonpath-ng-1.7.0-4.lbn36.noarch
Implementation of JSONPath for Python that aims to be standard compliant,
including arithmetic and binary comparison operators, as defined in the
original JSONPath proposal.
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python3-junos-eznc-2.6.5-1.lbn36.noarch
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python3-jupyter-c-kernel-1.2.2-14.fc36.noarch
Minimalistic C kernel for Jupyter
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python3-jupyter-console-6.6.3-1.lbn36.noarch
Jupyter Console
A terminal-based console frontend for Jupyter kernels.
This code is based on the single-process IPython terminal.
Install with pip:
pip install jupyter-console
Install with conda:
conda install -c conda-forge jupyter_console
Start:
jupyter console
Help:
jupyter console -h
Jupyter Console allows for console-based interaction with non-python
Jupyter kernels such as IJulia, IRKernel.
To start the console with a particular kernel, ask for it by name::
jupyter console --kernel=julia-0.4
A list of available kernels can be seen with::
jupyter kernelspec list
Release build:
$ pip install pep517
$ python -m pep517.build .
Resources
Project Jupyter website
Documentation for Jupyter Console [PDF]
Documentation for Project Jupyter [PDF]
Issues
Technical support - Jupyter Google Group
About the Jupyter Development Team
The Jupyter Development Team is the set of all contributors to the Jupyter project.
This includes all of the Jupyter subprojects.
The core team that coordi
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