ipyobservable
Jupyter widget for Observable
Installation
To install use pip:
$ pip install ipyobservable
For a development installation (requires Node.js and Yarn version 1),
$ git clone https://github.com/davidbrochart/ipyobservable.git
$ cd ipyobservable
$ pip install -e .
$ jupyter nbextension install --py --symlink --overwrite --sys-prefix ipyobservable
$ jupyter nbextension enable --py --sys-prefix ipyobservable
When actively developing your extension for JupyterLab, run the command:
$ jupyter labextension develop --overwrite ipyobservable
Then you need to rebuild the JS when you make a code change:
$ cd js
$ yarn run build
You then need to refresh the JupyterLab page when your javascript changes.
Metadata
Release files for ipyobservable 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ipyobservable-0.1.2.tar.gz | 401.0 kB | Without provenance | Details for ipyobservable-0.1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ipyobservable-0.1.2-py3-none-any.whl | Python 3 | none | any | Details for ipyobservable-0.1.2-py3-none-any.whl |
Total release size: 669.1 kB
Release files / ipyobservable-0.1.2.tar.gz
| Download URL | ipyobservable-0.1.2.tar.gz |
|---|---|
| Size | 401.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.6
|
Release files / ipyobservable-0.1.2-py3-none-any.whl
| Download URL | ipyobservable-0.1.2-py3-none-any.whl |
|---|---|
| Size | 268.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0a04f49f88efb479146e217b78bdc1b01feef27a6869d9883bf15e0df4c5b55c
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.6
|
Security for ipyobservable 0.1.2
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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