> For the complete documentation index, see [llms.txt](https://docs.pandastack.io/v1/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pandastack.io/v1/getting-started/platform/conatinered-website/how-to-configure-python-projects.md).

# How to Configure Python projects

### Follow the steps below to deploy a python based application on Pandastack:

***

{% hint style="info" %}
✅ **Pre-requisites:**

* Your Node.js app **must listen on port `9999`**.
* Alternatively, you can override this by setting the `PORT` environment variable during deployment
  {% endhint %}

***

1. **Go to your dashboard**\
   Visit [dashboard.pandastack.io/projects](https://dashboard.pandastack.io/projects) and click **“Add New Project”**.
2. **Select your repository**\
   Choose the GitHub repository that contains your Node.js application.
3. **Enable container deployment**\
   Toggle the **“Run as Container”** option to run your app inside a secure container environment.
4. **Configure the deployment**\
   Fill in the project setup form based on your application’s structure:
   * Set the environment variables (e.g., `PORT`)
   * Define build/start commands if needed
   * Choose your runtime environment (e.g., `Node.js 18`) by defining `NODE_VERSION` ENV.
5. **Allocate resources**\
   Select CPU and memory as per your app’s requirements.
6. **Deploy your app**\
   Click **“Deploy Container Site”**. The build process will begin, and logs will stream in real time.

***

### 📦 After Deployment

Once deployed, your app will be live on a secure Pandastack URL. You can manage your deployment, environment variables, and logs from the dashboard.

1.

```
<figure><img src="/files/81rvfR3Qy0QfhLVUEo7c" alt=""><figcaption></figcaption></figure>
```