Leer objetos de Python de vuelta

When a Python function returns, you get a value back in Mojo. Knowing how to unpack it lets you use the result in your code. 📦

Every Python call returns a PythonObject, Mojo's wrapper around whatever Python produced, be it a number, string, or array.

To use a result as a native Mojo number, convert it. Wrapping it with Int turns a Python integer into a Mojo Int.

For decimal results, use Float64 to pull a Python float into a Mojo floating-point value you can compute with.

You can keep using dot access on a returned object to read its attributes, exactly as you would in Python itself.

If the result is a sequence, index it with brackets. Each element is itself a PythonObject you can convert next.

Returned objects keep their Python methods. Call them with dot syntax to transform results further before reading them.

To turn a Python text result into native Mojo text, wrap it with String so you can store and join it normally.

Once you need real Mojo computation, convert the result out of PythonObject. Staying wrapped keeps you slow inside the Python world.

Python results can be tested in conditions too. Convert with Bool when you need a yes-or-no answer from a returned object.

Reading results back lets you blend Python output with fast Mojo logic, getting answers out of libraries and into your kernels. ⚡

Recall how you turn a Python integer result into a usable Mojo number.

You learned every Python call returns a PythonObject, and how to convert it with Int, Float64, or String to use the result in Mojo. 🎯