Python Code Explainer

Python Code Explainer helps you understand Python code by breaking it down into clear explanations. It can describe what the code does, explain algorithms and logic, and highlight important details so you can review or learn from the implementation more easily.

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The Large Language Model (i.e. AI) to use for code generation.
Drop files or folders here or click to select. If you want to upload to the sandbox environment, please enable the Code Execution in the "Advanced Tools" below before uploading.

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How much detail do you want in the explanation?

Brief
Moderate
In Detail
Advanced Tools


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When to enable Web Access and Code Execution

These tools provide different kinds of context and verification. Enable them when they improve the task.

Web Access

Use for current docs

Enable Web Access when the task depends on current documentation, an external API, or a third-party package—especially a new, niche, or less familiar library.

For the best result

  • Paste the official documentation URL into your prompt.
  • Name the package and version you intend to use.
  • Ask the model to follow the linked API instead of relying on memory.
  • For multiple sources, say which source is authoritative.

Example: “Use version 4.x and follow the official documentation at https://docs.example.com/.”

Code Execution

Use for automatic checks

Enable Code Execution when you want the model to run the code, execute tests, reproduce an error, or compare the result with an expected output.

Particularly useful for

  • Algorithms with testable inputs and outputs.
  • Parsing, data transformation, and numerical tasks.
  • Debugging a reproducible error.
  • Checking that dependencies install and tests pass.

Credit note: Running and iterating on code may consume more credits than a single response alone. Leave execution off when you only need a small snippet you can inspect yourself.

Browse public code generations for inspiration, or contact us if you have any questions.