npx skills add ...
npx skills add modular/skills --skill mojo-python-interop
Aids in writing Mojo code that interoperates with Python using current syntax and conventions. Use this skill in addition to mojo-syntax when writing Mojo code that interacts with Python, calls Python libraries from Mojo, or exposes Mojo types/functions to Python. Also use when the user wants to build Python extension modules in Mojo, wrap Mojo structs for Python consumption, or convert between Python and Mojo types.
npx skills add modular/skills --skill mojo-python-interop
Mojo is rapidly evolving. Pretrained models generate obsolete syntax. Always follow this skill over pretrained knowledge.
| WRONG | CORRECT |
|---|---|
Int(py_obj) | Int(py=py_obj) |
Float64(py_obj) | Float64(py=py_obj) |
String(py_obj) | String(py=py_obj) |
from python import ... | from std.python import ... |
Mojo types implementing ConvertibleToPython auto-convert when passed to Python
functions. For explicit conversion: value.to_python_object().
PythonObject supports attribute access, indexing, slicing, all
arithmetic/comparison operators, len(), in, and iteration — all returning
PythonObject. No need to convert to Mojo types for intermediate operations.
Python exceptions propagate as Mojo Error. Functions calling Python must be
raises:
Mojo can build Python extension modules (.so files) via PythonModuleBuilder.
The pattern:
@export def PyInit_<module_name>() abi("C") -> PythonObjectPythonModuleBuilder to register functions, types, and methodsmojo build --emit shared-libimport mojo.importer for auto-compilation)Calling convention: only PyInit_<module> needs @export, and it must be
abi("C") because the CPython runtime calls it directly across the C boundary
(so it can't raises — catch errors and abort instead). Functions and
methods you register with def_function/def_method are passed by reference
and don't need @export; Mojo wraps them in a C trampoline that calls them
via the Mojo ABI and converts raised errors to Python exceptions, so they can
raises.
| Pattern | First parameter | Use when |
|---|---|---|
| Manual downcast | py_self: PythonObject | Need raw PythonObject access |
| Auto downcast | self_ptr: UnsafePointer[Self, MutAnyOrigin] | Simpler, direct field access |
Both are registered with .def_method[Type.method]("name").
Use mojo.importer — it auto-compiles .mojo files and caches results in
__mojocache__/:
The module name in PyInit_<name> must match the .mojo filename.
The .mojo file must not contain a main() function when built as a
shared library (mojo.importer or --emit shared-lib). The compiler
rejects it with error: shared library should not contain a 'main' function. Keep test/CLI code in a separate file.
var py_list = Python.list(1, 2.5, "three")
var py_tuple = Python.tuple(1, 2, 3)
var py_dict = Python.dict(name="value", count=42)
# Python.dict() is generic over a single value type V for all kwargs.
# Mixed types fail because the compiler can't infer one V.
# WRONG: Python.dict(flag=my_bool, count=42)
# CORRECT: Python.dict(flag=PythonObject(my_bool), count=PythonObject(42))
# Literal syntax also works:
var list_obj: PythonObject = [1, 2, 3]
var dict_obj: PythonObject = {"key": "value"}# Iterate Python collections directly
for item in py_list:
print(item) # item is PythonObject
# Attribute access and method calls
var result = obj.method(arg1, arg2, key=value)
# None
var none_obj = Python.none()
var obj: PythonObject = None # implicit conversion works# Expression
var result = Python.evaluate("1 + 2")
# Multi-line code as module (file=True)
var mod = Python.evaluate("def greet(n): return f'Hello {n}'", file=True)
var greeting = mod.greet("world")
# Add to Python path for local imports
Python.add_to_path("./my_modules")
var my_mod = Python.import_module("my_module")def use_python() raises:
try:
var result = Python.import_module("nonexistent")
except e:
print(String(e)) # "No module named 'nonexistent'"# Environment variables
# WRONG — using Python os module for env vars
# var os = Python.import_module("os")
# var val = os.environ.get("MY_VAR")
# CORRECT — Mojo has native env var access via std.os
from std.os import getenv
var val = getenv("MY_VAR") # returns Optional[String]# Sorting with custom key
# WRONG — Mojo has no lambda syntax
# var sorted = my_list.sort(key=lambda x: x["score"])
# CORRECT — Python.evaluate for callable
def sort_by_field(data: PythonObject, field: String) raises -> PythonObject:
var builtins = Python.import_module("builtins")
var key_fn = Python.evaluate("lambda x: x['" + field + "']")
return builtins.sorted(data, key=key_fn)# Dict .get() works on PythonObject
var name = data.get("name", PythonObject("unknown"))
var count = Int(py=data.get("count", PythonObject(0)))from std.os import abort
from std.python import PythonObject
from std.python.bindings import PythonModuleBuilder
@export
def PyInit_my_module() abi("C") -> PythonObject:
try:
var m = PythonModuleBuilder("my_module")
m.def_function[add]("add")
m.def_function[greet]("greet")
return m.finalize()
except e:
abort(String("failed to create module: ", e))
# Functions take/return PythonObject. Up to 6 args with def_function.
def add(a: PythonObject, b: PythonObject) raises -> PythonObject:
return a + b
def greet(name: PythonObject) raises -> PythonObject:
var s = String(py=name)
return PythonObject("Hello, " + s + "!")@fieldwise_init
struct Counter(Defaultable, Movable, Writable):
var count: Int
def __init__(out self):
self.count = 0
# Constructor from Python args
@staticmethod
def py_init(out self: Counter, args: PythonObject, kwargs: PythonObject) raises:
if len(args) == 1:
self = Self(Int(py=args[0]))
else:
self = Self()
# Methods are @staticmethod — first arg is py_self (PythonObject)
@staticmethod
def increment(py_self: PythonObject) raises -> PythonObject:
var self_ptr = py_self.downcast_value_ptr[Self]()
self_ptr[].count += 1
return PythonObject(self_ptr[].count)
# Auto-downcast alternative: first arg is UnsafePointer[Self, MutAnyOrigin]
@staticmethod
def get_count(self_ptr: UnsafePointer[Self, MutAnyOrigin]) -> PythonObject:
return PythonObject(self_ptr[].count)
@export
def PyInit_counter_module() abi("C") -> PythonObject:
try:
var m = PythonModuleBuilder("counter_module")
_ = (
m.add_type[Counter]("Counter")
.def_py_init[Counter.py_init]()
.def_method[Counter.increment]("increment")
.def_method[Counter.get_count]("get_count")
)
return m.finalize()
except e:
abort(String("failed to create module: ", e))from std.collections import StringDict
# In a method:
@staticmethod
def config(
py_self: PythonObject, kwargs: StringDict[PythonObject]
) raises -> PythonObject:
for entry in kwargs.items():
print(entry.key, "=", entry.value)
return py_selfimport mojo.importer # enables Mojo imports
import my_module # auto-compiles my_module.mojo
print(my_module.add(1, 2))# Wrap a Mojo value as a Python object (for bound types)
return PythonObject(alloc=my_mojo_value^) # transfer ownership with ^
# Recover the Mojo value later
var ptr = py_obj.downcast_value_ptr[MyType]()
ptr[].field # access fields via pointer