A tool for viewing, editing and executing Jupyter Notebooks in the terminal
Project description
nbterm
Lets you view, edit and execute Jupyter Notebooks in the terminal.
Install
Using pip:
pip install nbterm
Using conda:
mamba install nbterm -c conda-forge
You will also need a kernel, e.g. ipykernel or xeus-python for Python, xeus-cling for C++.
Usage
Open an interactive notebook:
$ nbterm my_notebook.ipynb
Run a notebook in batch mode:
$ nbterm --run my_notebook.ipynb
Key bindings
There are two modes: edit mode, and command mode.
enter: enter the edit mode, allowing to type into the cell.esc: exit the edit mode and enter the command mode.
In command mode:
up: select cell above.down: select cell below.ctrl-up: move cell above.ctrl-down: move cell below.a: insert cell above.b: insert cell below.x: cut the cell.c: copy the cell.ctrl-v: paste cell above.v: paste cell below.o: set as code cell.r: set as raw cell.m: set as Markdown cell.l: clear cell outputs.ctrl-e: run cell.ctrl-r: run cell and select below.ctrl-s: save.ctrl-q: exit.ctrl-h: show help.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
nbterm-0.0.13.tar.gz
(11.2 kB
view details)
Built Distribution
nbterm-0.0.13-py3-none-any.whl
(12.4 kB
view details)
File details
Details for the file nbterm-0.0.13.tar.gz.
File metadata
- Download URL: nbterm-0.0.13.tar.gz
- Upload date:
- Size: 11.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 99b080c86b6a5121dc4f7333c4bbd89fc5fedc4af8372892ea6d8e396303cf2d |
|
| MD5 | c8e07b5cc3a11e15e8fc2fb91e89bd97 |
|
| BLAKE2b-256 | 104285f71783ffd75e7f38c58e82d744efe054dabc819311faa9139e65ab0a2a |
File details
Details for the file nbterm-0.0.13-py3-none-any.whl.
File metadata
- Download URL: nbterm-0.0.13-py3-none-any.whl
- Upload date:
- Size: 12.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 929ca67cba2a8a56ed9ef04b2ff423d2e4783805b56b1ed08eb6107f5d7f3abb |
|
| MD5 | 5a09b8c175c239fbf2a61d094f0a5e24 |
|
| BLAKE2b-256 | fcb9ef73e261f991e878341b0bd1a928aa2c0e4bdace690437671f1d3489d4f2 |
