---
title: "Python Shell for Debugging"
description: "How to open the corridor-api application-context Python shell for debugging and interacting with platform objects."
---

Python shell with `corridor-api` application context is useful to interact with the objects created on the platform,
without using SQL.
The shell can be opened by running the command:

```bash
corridor-api shell
```

The follow components support this command: `corridor-api`, `corridor-app`, `corridor-worker`.

:::note
The shell is only available for quick debugging. Many of the debugging commands used here
are internal, and not stable. The commands could change across versions without warning.
To get more information about your installation, the corridor team may request certain commands
to be run.
:::

## Examples

To create a spark session in the shell:

```bash
$ corridor-api shell
>>> import pyspark
>>> spark = pyspark.sql.SparkSession.builder.getOrCreate()
>>> spark
<pyspark.sql.session.SparkSession object at 0x7f9dbd1cb1f0>
```

To check the version of `scikit-learn` library:

```bash
$ corridor-api shell
>>> import sklearn
>>> sklearn.__version__
'0.24.2'
```