Skip to main content

Datalayer

Become a Sponsor

🪐 🌳 Jupyter Environments

Environmnents for Jupyter.

Jupyter Environments allow Users to define the packages and libraries (Python...) that are used in their Kernels.

An Environment is also the place where Users define their Secrets and Environment Variables.

Develop

pip install -e .[test]
jupyter labextension develop . --overwrite
jupyter labextension list
jupyter server extension list
yarn jupyterlab

Release files for jupyter-environments 0.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for jupyter-environments 0.0.2
File Interpreter ABI Platform
jupyter_environments-0.0.2-py3-none-any.whl Python 3 none any Details

Release files / jupyter_environments-0.0.2-py3-none-any.whl

Download URL jupyter_environments-0.0.2-py3-none-any.whl
Size 12.1 MB
Tags Python 3
SHA-256 checksum
How to use checksums
21e843058080969bda262caaad13bff9cc6fa3d648e2d0339ca5d2d33b326a22
BLAKE2b-256 checksum
How to use checksums
bac4c3c22ddd559c9a75c2a17514d7d038739a2180ae7a75d74c20feb803bd4f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.13

Release history Release notifications | RSS feed

This release

0.0.2 This release

1 release file

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page