mojo-python-interop

To call Python libraries from Mojo, you use this interoperability Skill to bridge the languages, enabling Mojo code to invoke Python functions seamlessly. It manages cross-language calls and data exchange for data processing pipelines.

PythonObject handling in Mojo interop is the mechanism that treats Python objects as Mojo objects, enabling Mojo-side processing of Python data. It allows you to wrap Mojo types for Python consumption and convert values between both languages.

You build Python extension modules in Mojo by using the PythonModuleBuilder to export Mojo functions and types. This exposes your Mojo API directly to Python, enabling two-way interoperability for data science pipelines.

Yes, you can expose Mojo functions and types to Python by wrapping them using PythonModuleBuilder bindings. This allows Python to consume Mojo modules seamlessly, treating exported Mojo APIs as native Python libraries.

The best way to convert types between Mojo and Python is using PythonObject bindings within this interop Skill. It facilitates seamless value exchange, allowing you to convert data structures during automation tasks and data processing.

Yes, Mojo supports standard Python interoperability for data processing by enabling cross-language calls and data exchange. You can embed existing Python libraries directly within Mojo to handle data workflows and automation tasks.