Jupyt
Jupyt is an intelligent assistant built on top of Jupyter Notebooks.
Prerequisites
- Node.js >= 16
- Python >= 3.8
- JupyterLab >= 4.0
- python3-full (for Ubuntu/Debian systems)
How to run on your system
# Create and activate a virtual environment
python3 -m venv .venv
source .venv/bin/activate
# Install required packages
pip install jupyterlab==4.2.7
pip install -e .
(for ubuntu add --break-system-packages)
Then activate that environment in another terminal
1. In your first terminal:
```bash
# Watch for source changes and rebuild automatically
jlpm watch
- In a second terminal:
# Run JupyterLab
jupyter lab
When you make changes to source files:
- Save your changes
- Wait for the rebuild message in the first terminal
- Refresh your JupyterLab browser window
Testing
# Run tests
jlpm test
# Run linting
jlpm lint
Project Structure
FOLDER STRUCTURE:
- src: All the code files for the extension
- style: The css for the codebase
- lib: The build converted into javascript
Metadata
Release files for jupyt-ai 0.1.0
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 |
|---|---|---|---|---|
| jupyt_ai-0.1.0.tar.gz | 264.0 kB | Without provenance | Details for jupyt_ai-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| jupyt_ai-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for jupyt_ai-0.1.0-py3-none-any.whl |
Total release size: 536.0 kB
Release files / jupyt_ai-0.1.0.tar.gz
| Download URL | jupyt_ai-0.1.0.tar.gz |
|---|---|
| Size | 264.0 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/6.1.0 CPython/3.12.7
|
Release files / jupyt_ai-0.1.0-py3-none-any.whl
| Download URL | jupyt_ai-0.1.0-py3-none-any.whl |
|---|---|
| Size | 272.0 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 |
twine/6.1.0 CPython/3.12.7
|
Security for jupyt-ai 0.1.0
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