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python3-jupyter-jaeger-1.0.4-1.lbn36.noarch
This adds support for using the Jaeger distributed tracing tool with Jupyter. It facilitates the use case of tracking some process that starts in a kernel and is continued in a mime renderer.
We are using it to profile and debug ibis-vega-transform which goes back and forth between the kernel and the frontend to interactively render charts with Altair.
Installing this adds two Jupyter server extensions that start up the jaeger-all-in-one and jaeger-browser processes when you launch Jupyter. So to use it you must first instrument code in your kernel and/or in the frontend to record traces.
It also provis a NPM Typescript plugin you can use to access the client from inside a JupyterLab extension.
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python3-jupyter-kernel-singular-0.9.9-8.fc36.noarch
This package contains a Jupyter kernel for Singular, to enable using
Jupyter as the front end for Singular.
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BastionLinux 36
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python3-jupyter-kernel-singular-0.9.9-8.fc36.noarch
This package contains a Jupyter kernel for Singular, to enable using
Jupyter as the front end for Singular.
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Core Linux
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BastionLinux 36
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python3-jupyter-kernel-singular-0.9.9-8.fc36.noarch
This package contains a Jupyter kernel for Singular, to enable using
Jupyter as the front end for Singular.
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BastionLinux 36
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python3-jupyter-kernel-test-0.6.0-1.lbn36.noarch
jupyter_kernel_test is a tool for testing Jupyter kernels. It tests kernels
for successful code execution and conformance with the Jupyter Messaging Protocol
(currently 5.0).
Install
Install it with pip (python3.4 or greater required):
pip3 install jupyter_kernel_test
Usage
To use it, you need to write a (python) unittest file containing code
samples in the relevant language which test various parts of the messaging protocol.
A short example is given below, and you can also refer to the
test_ipykernel.py and test_irkernel.py files for complete examples.
Some parts of the messaging protocol are relevant only to the browser-based
notebook (rich display) or console interfaces (code completeness,
history searching). Only parts of the spec for which you provide code samples
are tested.
Run this file directly using python, or use nosetests or py.test to find
and run it.
Example
import unittest
import jupyter_kernel_test
class MyKernelTests(jupyter_kernel_test.KernelTests):
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BastionLinux 36
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python3-jupyter-kernel-test-0.6.0-1.lbn36.noarch
jupyter_kernel_test is a tool for testing Jupyter kernels. It tests kernels
for successful code execution and conformance with the Jupyter Messaging Protocol
(currently 5.0).
Install
Install it with pip (python3.4 or greater required):
pip3 install jupyter_kernel_test
Usage
To use it, you need to write a (python) unittest file containing code
samples in the relevant language which test various parts of the messaging protocol.
A short example is given below, and you can also refer to the
test_ipykernel.py and test_irkernel.py files for complete examples.
Some parts of the messaging protocol are relevant only to the browser-based
notebook (rich display) or console interfaces (code completeness,
history searching). Only parts of the spec for which you provide code samples
are tested.
Run this file directly using python, or use nosetests or py.test to find
and run it.
Example
import unittest
import jupyter_kernel_test
class MyKernelTests(jupyter_kernel_test.KernelTests):
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Core Linux
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BastionLinux 36
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python3-jupyter-kernel-test-0.6.0-1.lbn36.noarch
jupyter_kernel_test is a tool for testing Jupyter kernels. It tests kernels
for successful code execution and conformance with the Jupyter Messaging Protocol
(currently 5.0).
Install
Install it with pip (python3.4 or greater required):
pip3 install jupyter_kernel_test
Usage
To use it, you need to write a (python) unittest file containing code
samples in the relevant language which test various parts of the messaging protocol.
A short example is given below, and you can also refer to the
test_ipykernel.py and test_irkernel.py files for complete examples.
Some parts of the messaging protocol are relevant only to the browser-based
notebook (rich display) or console interfaces (code completeness,
history searching). Only parts of the spec for which you provide code samples
are tested.
Run this file directly using python, or use nosetests or py.test to find
and run it.
Example
import unittest
import jupyter_kernel_test
class MyKernelTests(jupyter_kernel_test.KernelTests):
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Data Science
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BastionLinux 36
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python3-jupyter-kernel-test-0.6.0-1.lbn36.noarch
jupyter_kernel_test is a tool for testing Jupyter kernels. It tests kernels
for successful code execution and conformance with the Jupyter Messaging Protocol
(currently 5.0).
Install
Install it with pip (python3.4 or greater required):
pip3 install jupyter_kernel_test
Usage
To use it, you need to write a (python) unittest file containing code
samples in the relevant language which test various parts of the messaging protocol.
A short example is given below, and you can also refer to the
test_ipykernel.py and test_irkernel.py files for complete examples.
Some parts of the messaging protocol are relevant only to the browser-based
notebook (rich display) or console interfaces (code completeness,
history searching). Only parts of the spec for which you provide code samples
are tested.
Run this file directly using python, or use nosetests or py.test to find
and run it.
Example
import unittest
import jupyter_kernel_test
class MyKernelTests(jupyter_kernel_test.KernelTests):
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Data Science
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BastionLinux 36
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python3-jupyter-kernel-test-0.6.0-1.lbn36.noarch
jupyter_kernel_test is a tool for testing Jupyter kernels. It tests kernels
for successful code execution and conformance with the Jupyter Messaging Protocol
(currently 5.0).
Install
Install it with pip (python3.4 or greater required):
pip3 install jupyter_kernel_test
Usage
To use it, you need to write a (python) unittest file containing code
samples in the relevant language which test various parts of the messaging protocol.
A short example is given below, and you can also refer to the
test_ipykernel.py and test_irkernel.py files for complete examples.
Some parts of the messaging protocol are relevant only to the browser-based
notebook (rich display) or console interfaces (code completeness,
history searching). Only parts of the spec for which you provide code samples
are tested.
Run this file directly using python, or use nosetests or py.test to find
and run it.
Example
import unittest
import jupyter_kernel_test
class MyKernelTests(jupyter_kernel_test.KernelTests):
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BastionLinux 36
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python3-jupyter-lsp-2.2.0-1.lbn36.noarch
jupyter-lspMulti-[Language Server][language-server] WebSocket proxy for your
Jupyter notebook or lab server. For Python 3.6+.> See the parent of this
repository, > [jupyterlab-lsp]( for the > reference client implementation for
[JupyterLab][]. Language Serversjupyter-lsp does not come with any Language
Servers! Learn more about installing and configuring [language
servers][language servers...
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BastionLinux 36