ipytextual
Jupyter Textual-based Widget
Installation
You can install ipytextual using pip:
pip install ipytextual
Development Installation
Create a development environment:
micromamba create -n ipytextual
micromamba activate ipytextual
micromamba install -c conda-forge python nodejs
pip install jupyterlab
npm install
Install the Python package and build the TypeScript package.
pip install -e .
node_modules/.bin/esbuild --bundle --format=esm --outdir=ipytextual/static src/index.ts
Release files for ipytextual 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ipytextual-0.1.1.tar.gz | 264.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ipytextual-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 408.6 kB
Release files / ipytextual-0.1.1.tar.gz
| Download URL | ipytextual-0.1.1.tar.gz |
|---|---|
| Size | 264.4 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 |
python-httpx/0.25.1
|
Release files / ipytextual-0.1.1-py3-none-any.whl
| Download URL | ipytextual-0.1.1-py3-none-any.whl |
|---|---|
| Size | 144.2 kB |
| Tags | Python 3 |
|
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 |
python-httpx/0.25.1
|