diff --git a/.github/ISSUE_TEMPLATE/bugreport.yml b/.github/ISSUE_TEMPLATE/bugreport.yml
index bb1febae2ff..043584f3ea6 100644
--- a/.github/ISSUE_TEMPLATE/bugreport.yml
+++ b/.github/ISSUE_TEMPLATE/bugreport.yml
@@ -33,14 +33,14 @@ body:
 
         Bug reports that follow these guidelines are easier to diagnose, and so are often handled much more quickly.
         This will be automatically formatted into code, so no need for markdown backticks.
-      render: python
+      render: Python
 
   - type: textarea
     id: log-output
     attributes:
       label: Relevant log output
       description: Please copy and paste any relevant output. This will be automatically formatted into code, so no need for markdown backticks.
-      render: python
+      render: Python
 
   - type: textarea
     id: extra
diff --git a/doc/contributing.rst b/doc/contributing.rst
index df279caa54f..0913702fd83 100644
--- a/doc/contributing.rst
+++ b/doc/contributing.rst
@@ -274,13 +274,13 @@ Some other important things to know about the docs:
       .. ipython:: python
 
           x = 2
-          x ** 3
+          x**3
 
   will be rendered as::
 
       In [1]: x = 2
 
-      In [2]: x ** 3
+      In [2]: x**3
       Out[2]: 8
 
   Almost all code examples in the docs are run (and the output saved) during the
diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 37abf931eb4..aa48bd619e8 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -5133,7 +5133,7 @@ Enhancements
   .. ipython:: python
 
       ds = xray.Dataset(coords={"x": range(100), "y": range(100)})
-      ds["distance"] = np.sqrt(ds.x ** 2 + ds.y ** 2)
+      ds["distance"] = np.sqrt(ds.x**2 + ds.y**2)
 
       @savefig where_example.png width=4in height=4in
       ds.distance.where(ds.distance < 100).plot()
@@ -5341,7 +5341,7 @@ Enhancements
   .. ipython:: python
 
       ds = xray.Dataset({"y": ("x", [1, 2, 3])})
-      ds.assign(z=lambda ds: ds.y ** 2)
+      ds.assign(z=lambda ds: ds.y**2)
       ds.assign_coords(z=("x", ["a", "b", "c"]))
 
   These methods return a new Dataset (or DataArray) with updated data or
diff --git a/xarray/core/computation.py b/xarray/core/computation.py
index 88eefbdc441..c11bd1a78a4 100644
--- a/xarray/core/computation.py
+++ b/xarray/core/computation.py
@@ -944,7 +944,7 @@ def apply_ufunc(
     Calculate the vector magnitude of two arguments:
 
     >>> def magnitude(a, b):
-    ...     func = lambda x, y: np.sqrt(x ** 2 + y ** 2)
+    ...     func = lambda x, y: np.sqrt(x**2 + y**2)
     ...     return xr.apply_ufunc(func, a, b)
     ...