DataForge Convert
High-performance Jupyter notebook conversion for Python.
Installation
pip install dataforge-convert
Usage
from dataforge_convert import convert_notebook
# Convert notebook to HTML
html = convert_notebook("notebook.ipynb", "html", title="My Notebook")
# Convert to Markdown
md = convert_notebook("notebook.ipynb", "markdown")
# Convert to Python script
py = convert_notebook("notebook.ipynb", "python")
# Strip outputs (clean notebook)
clean = convert_notebook("notebook.ipynb", "strip")
1 maintainer
Metadata
1 maintainer
Release files for dataforge-convert 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dataforge_convert-0.1.0-cp39-cp39-macosx_11_0_arm64.whl | CPython 3.9 | CPython 3.9 | macOS 11.0+ ARM64 | Details |
Release files / dataforge_convert-0.1.0-cp39-cp39-macosx_11_0_arm64.whl
| Download URL | dataforge_convert-0.1.0-cp39-cp39-macosx_11_0_arm64.whl |
|---|---|
| Size | 984.1 kB |
| Tags | CPython 3.9 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
de28cc06426f75a294cb04212ccd87f1ac60036166c34e8c042dec17a701d10c
|
|
BLAKE2b-256 checksum How to use checksums |
8eac9926dd1c220e552b777b4ba943df74e91a3af1f18a21726889a705069a20
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
|
