Metadata-Version: 2.1
Name: execnb
Version: 0.0.3
Summary: A description of your project
Home-page: https://github.com/fastai/execnb/tree/master/
Author: Jeremy Howard
Author-email: j@fast.ai
License: Apache Software License 2.0
Keywords: some keywords
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: dev
License-File: LICENSE

execnb
================

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## Install

Either:

    pip install execnb

or if you use conda:

    conda install -c fastai execnb

(You can replace `conda` with `mamba` in the line above if you have
mamba installed.)

## How to use

Use `CaptureShell` to run Jupyter code and capture notebook outputs,
without running a Jupyter server (or even having it installed):

``` python
s = CaptureShell()
s.run('1+1')
```

    [{'data': {'text/plain': ['2']},
      'metadata': {},
      'output_type': 'execute_result',
      'execution_count': 1}]

To execute a notebook and save it with outputs filled in, use `execute`:

``` python
try:
    s.execute('../tests/clean.ipynb', 'tmp.ipynb')
    print(read_nb('tmp.ipynb').cells[1].outputs)
finally: Path('tmp.ipynb').unlink()
```

    [{'data': {'text/plain': ['2']}, 'execution_count': 6, 'metadata': {}, 'output_type': 'execute_result'}, {'name': 'stdout', 'output_type': 'stream', 'text': ['1']}]


