diff --git a/.github/workflows/ccpp.yml b/.github/workflows/ccpp.yml
index c009dfd4f0..b24affa806 100644
--- a/.github/workflows/ccpp.yml
+++ b/.github/workflows/ccpp.yml
@@ -139,8 +139,8 @@ jobs:
           . ./mypy-env/bin/activate
           pip install mypy types-cffi scipy-stubs
           mypy -p dolfinx
-        # mypy test
-        # mypy demo
+          mypy test
+          mypy demo
 
       - name: Install gmsh and pyvista (and dependencies)
         run: |
diff --git a/python/demo/demo_pml.py b/python/demo/demo_pml.py
index 27d4fb9464..c5634bf72d 100644
--- a/python/demo/demo_pml.py
+++ b/python/demo/demo_pml.py
@@ -214,8 +214,8 @@ def generate_mesh_wire(
 
 def compute_a(nu: int, m: complex, alpha: float) -> float:
     """Compute the Mie coefficient a_nu for a cylinder."""
-    J_nu_alpha = jv(nu, alpha)
-    J_nu_malpha = jv(nu, m * alpha)
+    J_nu_alpha = jv(nu, alpha)  # type: ignore
+    J_nu_malpha = jv(nu, m * alpha)  # type: ignore
     J_nu_alpha_p = jvp(nu, alpha, 1)
     J_nu_malpha_p = jvp(nu, m * alpha, 1)
 
diff --git a/python/demo/demo_pyamg.py b/python/demo/demo_pyamg.py
index bf6e4e68c8..6708a1ff6e 100644
--- a/python/demo/demo_pyamg.py
+++ b/python/demo/demo_pyamg.py
@@ -63,7 +63,7 @@ def poisson_problem(dtype: npt.DTypeLike, solver_type: str) -> None:
         solver_type: pyamg solver type, either "ruge_stuben" or
             "smoothed_aggregation"
     """
-    real_type = np.real(dtype(0)).dtype
+    real_type = np.real(dtype(0)).dtype  # type: ignore
     mesh = create_box(
         comm=MPI.COMM_WORLD,
         points=[(0.0, 0.0, 0.0), (3.0, 2.0, 1.0)],
@@ -84,7 +84,7 @@ def poisson_problem(dtype: npt.DTypeLike, solver_type: str) -> None:
 
     dofs = locate_dofs_topological(V=V, entity_dim=fdim, entities=facets)
 
-    bc = dirichletbc(value=dtype(0), dofs=dofs, V=V)
+    bc = dirichletbc(value=dtype(0), dofs=dofs, V=V)  # type: ignore
 
     u, v = ufl.TrialFunction(V), ufl.TestFunction(V)
     x = ufl.SpatialCoordinate(mesh)
@@ -110,14 +110,14 @@ def poisson_problem(dtype: npt.DTypeLike, solver_type: str) -> None:
     print(ml)
 
     # Solve linear systems
-    print(f"\nSolve Poisson equation: {dtype.__name__}")
+    print(f"\nSolve Poisson equation: {dtype!s}")
     res: list[float] = []
     tol = 1e-10 if real_type == np.float64 else 1e-6
     uh.x.array[:] = ml.solve(b.array, tol=tol, residuals=res, accel="cg")
     for i, q in enumerate(res):
         print(f"Convergence history: iteration {i}, residual= {q}")
 
-    with io.XDMFFile(mesh.comm, f"out_pyamg/poisson_{dtype.__name__}.xdmf", "w") as file:
+    with io.XDMFFile(mesh.comm, f"out_pyamg/poisson_{dtype!s}.xdmf", "w") as file:
         file.write_mesh(mesh)
         file.write_function(uh)
 
@@ -126,7 +126,7 @@ def poisson_problem(dtype: npt.DTypeLike, solver_type: str) -> None:
 
 
 # +
-def nullspace_elasticty(Q: fem.FunctionSpace) -> list[np.ndarray]:
+def nullspace_elasticty(Q: fem.FunctionSpace) -> npt.NDArray:
     """Create the elasticity (near)nulspace.
 
     Args:
diff --git a/python/demo/demo_scattering_boundary_conditions.py b/python/demo/demo_scattering_boundary_conditions.py
index f3bd735f6d..3c40b83574 100644
--- a/python/demo/demo_scattering_boundary_conditions.py
+++ b/python/demo/demo_scattering_boundary_conditions.py
@@ -220,8 +220,8 @@ def generate_mesh_wire(
 # +
 def compute_a(nu: int, m: complex, alpha: float) -> float:
     """Compute the a_nu coefficient."""
-    J_nu_alpha = jv(nu, alpha)
-    J_nu_malpha = jv(nu, m * alpha)
+    J_nu_alpha = jv(nu, alpha)  # type: ignore
+    J_nu_malpha = jv(nu, m * alpha)  # type: ignore
     J_nu_alpha_p = jvp(nu, alpha, 1)
     J_nu_malpha_p = jvp(nu, m * alpha, 1)
 
diff --git a/python/dolfinx/fem/bcs.py b/python/dolfinx/fem/bcs.py
index 10dce42ba3..d4abcaa8a7 100644
--- a/python/dolfinx/fem/bcs.py
+++ b/python/dolfinx/fem/bcs.py
@@ -12,7 +12,6 @@
 
 from __future__ import annotations
 
-import numbers
 from collections.abc import Callable, Iterable
 
 import numpy as np
@@ -172,7 +171,7 @@ def dof_indices(self) -> tuple[npt.NDArray[np.int32], int]:
 
 
 def dirichletbc(
-    value: Function | Constant | np.ndarray,
+    value: Function | Constant | np.ndarray | float | complex,
     dofs: npt.NDArray[np.int32],
     V: dolfinx.fem.FunctionSpace | None = None,
 ) -> DirichletBC:
@@ -193,7 +192,7 @@ def dirichletbc(
         A representation of the boundary condition for modifying linear
         systems.
     """
-    if isinstance(value, numbers.Number):
+    if isinstance(value, float | complex):
         value = np.asarray(value)
 
     try: