# Python

### Getting and publishing a function

The following shows how to get, edit, and pack your template for upload.

| Versions   | Template                                                                                       |
| ---------- | ---------------------------------------------------------------------------------------------- |
| Python 3.8 | [Download](https://codemash-public.s3.eu-central-1.amazonaws.com/code-templates/node_8_10.zip) |
| Python 3.7 | [Download](https://codemash-public.s3.eu-central-1.amazonaws.com/code-templates/node_8_10.zip) |
| Python 3.6 | [Download](https://codemash-public.s3.eu-central-1.amazonaws.com/code-templates/node_8_10.zip) |
| Python 2.7 | Download                                                                                       |

* After you have downloaded the template project, unzip it and navigate to `./lambda-function` directory.
* Open the command-line tool and run `npm install`. This will install all initial dependencies.
* Your entry (main) function will be inside `index.js` file called `exports.handler`.
* After you done, zip all of the`.js`files and`node_modules`folder. Other files are not needed.
* Upload zipped file to CodeMash.

For the **handler** you have to specify your entry function location. Handler follows such format - `fileName.functionName`. Following the structure given in the initial template, the handler would be `index.handler`. You can edit any of these parameters for your own function.

### Template overview

The following explains how to use provided template to create your own functions.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.codemash.io/dashboard/code/functions/function-templates/python.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.