> ## Documentation Index
> Fetch the complete documentation index at: https://anaconda.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Scheduled deployment example

Here is an example `anaconda-project.yml` file to demonstrate how to use a scheduled deployment task with [scripts](#scripts) and [notebooks](#notebooks):

```
name: Scheduled Job

packages:
  - python=3.7
  - notebook
channels:
  - defaults

platforms:
  - linux-64

env_specs:
  default: {}
```

## Scripts

You can run scripts in the correct conda environment by declaring a `python` executable that’s consistent with the packages specified in the `anaconda-project.yml` file—in this example, a Python 3.7 Notebook.

The following excerpt of an example `anaconda-project.yml` file uses an appropriate `python` executable.

```
commands:
  script_task:
    unix: python task.py
```

In this example, `task.py` runs the following code, which will print the time and date when the script runs.

```
from datetime import datetime
print(datetime.now())
```

## Notebooks

Notebook files *cannot* be executed using the `notebook:` command, as that command starts an *interactive* Jupyter session.
Instead, you can specify a `unix:` command to execute a Jupyter notebook.

For example, create a simple notebook named `task.ipynb`, with a single cell:

<Frame>
  <img src="https://mintcdn.com/anaconda-29683c67/SgtHPGS_3WUV3NOk/images/sample_notebook.png?fit=max&auto=format&n=SgtHPGS_3WUV3NOk&q=85&s=71a879189efc90e10821f427e7997b9f" alt="" width="1720" height="272" data-path="images/sample_notebook.png" />
</Frame>

To run the notebook, create another file in the project named `run_nb.sh` that contains the following:

```
jupyter nbconvert --ExecutePreprocessor.kernel_name='python3' --to markdown --stdout --execute $1
```

This `run_nb.sh` script runs the [nbconvert](https://nbconvert.readthedocs.io/en/latest/execute_api.html) tool against the notebook file, and ensures that:

* The Python3 kernel is used
* The output is converted to easy-to-ready Markdown
* The output is directed to STDOUT rather than a file

Lastly, add the following to the `anaconda-project.yml` file for the `task.ipynb` notebook:

```
commands:
  notebook_task:
    unix: sh run_nb.sh task.ipynb

```

After you [save and commit your project](../projects/collaborate#committing-your-changes), you can [create a schedule](./schedule-deploy) to run it.