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There are two ways to sandbox Python. One is to create a restricted environment (i.e., very few globals etc.) and exec your code inside this environment. This is what Messa is suggesting.
A Python sandbox is a tool that enables the safe execution of Python code by restricting potentially harmful operations and limiting access to system resources. It creates a controlled environment where you can execute untrusted code without jeopardizing the security of the underlying system.
This online sandbox tutorial is set up for you to “fill in the blanks”. Basically, most of the code is already completed, except for a small piece of code in each line for you to fill in. It’s up to you to figure out what goes in there, but we, the code volunteers are ready to answer any questions you may have, on GitHub.
In this step-by-step project, you'll build a Python quiz application for the terminal. Your app will ask you multiple-choice questions that you can use to strengthen your own knowledge or challenge your friends to test theirs.
Explore this online python sandbox and experiment with it yourself using our interactive online playground. You can use it as a template to jumpstart your development with this pre-built solution. With CodeSandbox, you can easily learn how CodeSandbox has skilfully integrated different packages and frameworks to create a truly impressive web app.
Say "Hello, World!" With Python.
It leverages Docker to run a configurable Python container, while also bringing IntelliSense and support for Python package managers. In this tutorial, we will showcase two different approaches you can use to get started with Python in CodeSandbox: starting from a template or importing an existing Python project.
