将 Mojo 数据传递给 Python
通过互操作桥传递值
将 Mojo 数据传递给 Python 是 CoddyKit 上的免费 Mojo Academy 课时。 这是第 2 节课,共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 Mojo Academy 学习路径的一部分,你的进度在网页和 CoddyKit 应用中同步。 Mojo Academy 课程共包含 4 节课。
本课时的部分内容尚未翻译,以英文显示。
Crossing the Bridge
To use a Python library, your Mojo values must cross into Python first. That hand-off is the heart of interop. 🌉
Numbers Convert
Mojo numbers turn into Python numbers automatically when you pass them. A Mojo Int becomes a Python int the library can read.
var n = 42
var result = np.array([n])Build Python Lists
Many NumPy calls expect a Python list. You can write the list literal right inside the call, and Mojo passes it across the bridge.
var a = np.array([1, 2, 3, 4])The PythonObject Type
On the Python side, everything is a PythonObject. It is Mojo's wrapper for any value living in the Python world.
var obj: PythonObject = 3.14Wrap a Value
Annotate a value as PythonObject to convert it for Python. Mojo handles turning your number into the matching Python type.
var py_x: PythonObject = 10Strings Cross Too
Mojo strings convert into Python strings the same way, so you can pass text labels and names straight into Python functions.
var name: PythonObject = "mojo"Pass as Arguments
Once converted, just hand values to a Python call as arguments. The library receives normal Python objects and works as usual.
var scaled = np.multiply(a, 2)Mark It raises
Conversions and Python calls can fail, so wrap this work in a function marked raises to stay safe.
fn send() raises:
var py_x: PythonObject = 5Mind the Copy
Crossing the bridge often copies data into Python's memory. That copy has a cost, so pass big buffers thoughtfully.
Lists of Numbers
You can also pass a Mojo list of values into Python. Each element converts as it crosses, arriving as a Python list.
var data = [1.0, 2.0, 3.0]
var arr = np.array(data)Why It Matters
Smooth conversion means your Mojo numbers and text flow into any Python library, letting you reuse powerful tools without friction. ✨
Quick Check
Recall the type that represents a value once it lives on the Python side.
Recap
You saw Mojo numbers and strings convert into PythonObject values, ready to pass as arguments into any Python call across the bridge. 🎯
常见问题解答
「将 Mojo 数据传递给 Python」课时是免费的吗?
是的 — 「将 Mojo 数据传递给 Python」的完整文本可在网页上免费阅读。要进行交互式练习(内置代码编辑器和全天候 AI 导师)并解锁 Mojo Academy 课程的其余内容,请升级到 CoddyKit PRO。 Mojo Academy 课程共包含 4 节课。
「将 Mojo 数据传递给 Python」这节课中我会学到什么?
通过互操作桥传递值 你通过在浏览器中直接运行的动手代码来练习 Mojo Academy,全天候 AI 导师会在你学习这节课的过程中回答你的问题。
学习 Mojo Academy 需要有经验吗?
无需任何先前经验。CoddyKit 上的 Mojo Academy 课程适合初学者到高级学习者,你可以从这里开始或从头开始,按照自己的节奏学习。 这是第 2 节课,共 4 节。
「将 Mojo 数据传递给 Python」课时需要多长时间?
大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动,所以你能稳步进步,并在网页和应用中从离开的地方继续。
我能在这节 Mojo Academy 课中编写并运行代码吗?
能。每节 Mojo Academy 课都包含内置代码编辑器,你可以在浏览器中直接编写并运行真实代码,并获得即时 AI 反馈 — 无需本地设置。
此课程中的所有课时
- 在 Mojo 中使用 NumPy
- 将 Mojo 数据传递给 Python
- 读取 Python 返回的对象
- 互操作的性能陷阱