การส่งข้อมูล Mojo ไปยัง Python

To use a Python library, your Mojo values must cross into Python first. That hand-off is the heart of interop. 🌉

Mojo numbers turn into Python numbers automatically when you pass them. A Mojo Int becomes a Python int the library can read.

Many NumPy calls expect a Python list. You can write the list literal right inside the call, and Mojo passes it across the bridge.

On the Python side, everything is a PythonObject. It is Mojo's wrapper for any value living in the Python world.

Annotate a value as PythonObject to convert it for Python. Mojo handles turning your number into the matching Python type.

Mojo strings convert into Python strings the same way, so you can pass text labels and names straight into Python functions.

Once converted, just hand values to a Python call as arguments. The library receives normal Python objects and works as usual.

Conversions and Python calls can fail, so wrap this work in a function marked raises to stay safe.

Crossing the bridge often copies data into Python's memory. That copy has a cost, so pass big buffers thoughtfully.

You can also pass a Mojo list of values into Python. Each element converts as it crosses, arriving as a Python list.

Smooth conversion means your Mojo numbers and text flow into any Python library, letting you reuse powerful tools without friction. ✨

Recall the type that represents a value once it lives on the Python side.

You saw Mojo numbers and strings convert into PythonObject values, ready to pass as arguments into any Python call across the bridge. 🎯