diff --git a/numga/backend/python/context.py b/numga/backend/python/context.py
index 15b9970..34707a1 100644
--- a/numga/backend/python/context.py
+++ b/numga/backend/python/context.py
@@ -4,10 +4,10 @@
 
 
 class PythonContext(AbstractContext):
-	def __init__(self, algebra, dtype=float):
+	def __init__(self, algebra, dtype=float, otype=PythonSparseOperator):
 		super(PythonContext, self).__init__(
 			algebra=algebra,
 			dtype=dtype,
-			otype=PythonSparseOperator,
+			otype=otype,
 			mvtype=PythonMultiVector
 		)
diff --git a/numga/backend/python/operator.py b/numga/backend/python/operator.py
index 9d5ba9a..9158664 100644
--- a/numga/backend/python/operator.py
+++ b/numga/backend/python/operator.py
@@ -16,9 +16,28 @@ def __call__(self, *inputs: Tuple[PythonMultiVector]) -> PythonMultiVector:
 				math.prod((inp.values[ii] for inp, ii in zip(inputs, idx)), start=scalar)
 				for (idx, scalar) in term
 			)
+
 		return output
 
-	# def partial(self, inputs: Dict[int, PythonMultiVector]) -> "PythonSparseOperator":
+
+class PythonCodegenOperator(AbstractConcreteOperator):
+	"""quick and dirty python codegen example"""
+
+	def __call__(self, *inputs: Tuple[PythonMultiVector]) -> PythonMultiVector:
+		terms = self.precompute_sparse
+		inputs = [f'i{i}' for i in range(self.operator.arity)]
+		inp = ','.join(inputs)
+		text = f'def foo({inp}):\n'
+		def make_term(idx, scalar):
+			q = [inp + f'[{ii}]' for inp, ii in zip(inputs, idx)]
+			return '*'.join([str(scalar)] + q)
+
+		def make_line(ci, term):
+			return f'\to[{ci}] = ' + '+'.join(make_term(idx, scalar) for idx, scalar in term)
+
+		return text + '\n'.join(make_line(ci, term) for ci, term in terms)
+
+# def partial(self, inputs: Dict[int, PythonMultiVector]) -> "PythonSparseOperator":
 	# 	expr = self.precompute_einsum_partial(tuple(inputs.keys()))
 	# 	return PythonSparseOperator(
 	# 		self.context,
diff --git a/numga/backend/test/test_python.py b/numga/backend/test/test_python.py
index d9c14f4..86c8c5d 100644
--- a/numga/backend/test/test_python.py
+++ b/numga/backend/test/test_python.py
@@ -11,3 +11,12 @@ def test_sparse_operator():
 
 	output = q.sandwich(v)
 	print(output)
+
+
+def test_codegen():
+	from numga.backend.python.operator import PythonCodegenOperator
+	ga = PythonContext('x+y+z+', otype=PythonCodegenOperator)
+	even = ga.subspace.even_grade()
+	op = ga.operator.product(even, even)
+	print()
+	print(op())