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https://github.com/miksus/jubox
Pythonic way to operate Jupyter Notebooks in Python
https://github.com/miksus/jubox
jupyter-notebook python3
Last synced: 7 days ago
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Pythonic way to operate Jupyter Notebooks in Python
- Host: GitHub
- URL: https://github.com/miksus/jubox
- Owner: Miksus
- License: mit
- Created: 2020-04-18T18:48:41.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2022-08-23T18:07:37.000Z (over 2 years ago)
- Last Synced: 2025-01-19T20:51:52.894Z (about 1 month ago)
- Topics: jupyter-notebook, python3
- Language: Python
- Homepage:
- Size: 900 KB
- Stars: 1
- Watchers: 3
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# JuBox
[](https://travis-ci.com/Miksus/jubox)
> Programmatical Jupyter Notebook API for humans
> Jupyter Notebook extension, Python 3, Easy to use
---
## What?
- Pythonic approach to load, modify, run and save Jupyter Notebooks in Python code
- This enables to quickly and easily create:
- Parametrized notebooks
- Version controlable notebooks directly from inserted code snippets, Python files or even straight from Python functions and classes.
- Notebooks with code generated markdown
## Installation
- Pip install from pip
```shell
pip install jubox
```
- Clone the source code and pip install:
```shell
git clone https://github.com/Miksus/jubox.git
cd jubox
pip install -e .
```
## Example
See [demo](docs/Demo.ipynb) or [cook book](docs/cookbook/README.md) for detailed examples.
```python
from jubox import JupyterNotebook, CodeCell
# Load jupyter Notebook
nb = JupyterNotebook("my_file.ipynb")
nb.load()
# Run the notebook
# by making a copy (output is lost if raised exception)
nb_runned = nb()
# or in place (maintains exceptions in the notebook)
nb(inplace=True)
# save the file to the original file
nb.save()
# or to new file
nb.to_ipynb("run_notebook.ipynb")
# Get cells with specific tags
param_cells = nb.cells.get(tags=["parametrized"])
# Rewrite the first tagged cell with dict of parameters
new_cell = CodeCell.from_variable_dict(run_date="2020-01-01", category="blue")
param_cells[0].overwrite(new_cell)
```
---
## Features
- Convenient object oriented API for Jupyter Notebooks.
- API includes:
- Load, save and run notebooks in Python
- Conveniently select specific cells using tags, source, regex or the type
- Conveniently select specific outputs of a cell and render it to HTML or plain text
- Render Jupyter Notebooks in a Jupyter Notebook!
## Test
Pytest was chosen as testing suites. Tests are found in test directory inside the source.
---
## Author
* **Mikael Koli** - [Miksus](https://github.com/Miksus) - [email protected]
---
## License
- **[MIT license](http://opensource.org/licenses/mit-license.php)**