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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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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
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
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python3-jupyter-core-4.1.1-2.lbn19.noarch
Core common functionality of Jupyter projects.
This package contains base application classes and configuration inherited by
other projects.
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Big Data
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python3-jupyter-core-4.5.0-1.lbn25.noarch
Core common functionality of Jupyter projects.
This package contains base application classes and configuration inherited by
other projects.
Located in
LBN
/
…
/
Big Data
/
BastionLinux 25
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python3-jupyter-core-4.5.0-1.lbn25.noarch
Core common functionality of Jupyter projects.
This package contains base application classes and configuration inherited by
other projects.
Located in
LBN
/
…
/
Big Data
/
BastionLinux 25
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python3-jupyter-core-5.7.2-1.lbn36.noarch
There is no reason to install this package on its own.
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…
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/
BastionLinux 36
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python3-jupyter-core-5.7.2-1.lbn36.noarch
There is no reason to install this package on its own.
Located in
LBN
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…
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Core Linux
/
BastionLinux 36
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python3-jupyter-core-5.7.2-1.lbn36.noarch
There is no reason to install this package on its own.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
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python3-jupyter-core-5.7.2-1.lbn36.noarch
There is no reason to install this package on its own.
Located in
LBN
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…
/
Data Science
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BastionLinux 36
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python3-jupyter-events-0.10.0-1.lbn36.noarch
Jupyter Events
An event system for Jupyter Applications and extensions.
Jupyter Events enables Jupyter Python Applications (e.g. Jupyter Server, JupyterLab Server, JupyterHub, etc.) to emit events—structured data describing things happening inside the application. Other software (e.g. client applications like JupyterLab) can listen and respond to these events.
Install
Install Jupyter Events directly from PyPI:
pip install jupyter_events
or conda-forge:
conda install -c conda-forge jupyter_events
Documentation
Documentation is available at jupyter-events.readthedocs.io.
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 coordinates development on GitHub can be found here:
https:/github.com/jupyter/.
Our Copyright Policy
Jupyter uses a shared copyright model. Each contributor maintains copyright
over their contributions to Jupyter. But, it is important
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