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Python Executor

Our Run Python Code module allows you to run Python code on the CPython runtime, inside a relatively standard Linux environment. You can find the API docs here.

Overview​

Python Module in Make

You can configure three things here:

  1. Your Python Code is the code itself. This is what will be executed by our code executor. It works pretty much exactly like when you run python locally (with the CPython runtime).
warning

In the non-async Python executor, the only way to get a result is by assigning to the global result variable. Printing something to the console has no effect. Make sure that the value assigned to the result variable is JSON-serializable.

  1. Requirements are the PyPI packages you want to use. These are passed verbatim to pip (which you can also use locally).
warning

Don't pass standard library packages here, like json. These are already installed (like in every Python environment), and won't be found on PyPI. Remember, the Requirements are passed directly to pip.

danger

You can also leave the Requirements field empty, and let the Python executor infer which packages you are using. However, this is deprecated, and should definitely not be used anymore. It may break at any time! If you are using any additional PyPI packages, always put them into the Requirements array.

  1. System Dependencies are packages that should be installed on the system before running your code. This is an advanced feature, you don't need this most of the time. Common usecases are when you want to use ffmpeg to manipulate audio or use a webdriver like Selenium.
info

We're using the Alpine Package Keeper for installing system dependencies, you can find all available packages here.

Pricing​

The Python executor (not to be confused with the async Python executor) costs 50 credits per execution (of up to 3 minutes).

Examples​

This section presents a couple of very basic Python examples. They are mostly there to show how to return data from the code executor. If you want to learn Python itself, take a look here.

multiply_numbers.py
def multiplyNumbers(number1, number2):
   return = number1 * number2
result = {
   "data": multiplyNumbers(43, 11)
}
numpy_example.py
// TODO: add "numpy" to your requirements
import numpy
array = numpy.random.randint(1000, size=(8))
index = 0
for number in array:
   result['randInt'+str(index)] = str(array[index])
   index += 1
"""
output:
{
   "result": {
      "randInt0": "819",
      "randInt1": "794",
      "randInt2": "181",
      "randInt3": "811",
      "randInt4": "205",
      "randInt5": "187",
      "randInt6": "697",
      "randInt7": "141",
   }
}
"""
requests_example.py
// TODO: add "requests" to your requirements
import requests
result = requests.get('https://www.0codekit.com').text