diff --git a/docs/notebooks/02Common_DataStore_functions_slice_mean_max_std_resample.ipynb b/docs/notebooks/02Common_DataStore_functions_slice_mean_max_std_resample.ipynb
index e230e9fa..ad563848 100644
--- a/docs/notebooks/02Common_DataStore_functions_slice_mean_max_std_resample.ipynb
+++ b/docs/notebooks/02Common_DataStore_functions_slice_mean_max_std_resample.ipynb
@@ -284,6 +284,7 @@
    "source": [
     "# We use the logic from xarray to resample. However, it returns an xarray dataset type. Therefore we convert it back to the dtscalibration Datastore type.\n",
     "from dtscalibration import DataStore\n",
+    "\n",
     "ds_resampled = DataStore(ds.resample(time=\"47S\").mean())"
    ]
   },
diff --git a/docs/notebooks/09Import_timeseries.ipynb b/docs/notebooks/09Import_timeseries.ipynb
index 41c81427..39e06c53 100644
--- a/docs/notebooks/09Import_timeseries.ipynb
+++ b/docs/notebooks/09Import_timeseries.ipynb
@@ -85,9 +85,9 @@
    },
    "outputs": [],
    "source": [
-    "ts = pd.read_csv(\n",
-    "    filepath, sep=\",\", index_col=0, parse_dates=True\n",
-    ")[\"Pt100 2\"]                             # See pandas' read_csv documentation for more options\n",
+    "ts = pd.read_csv(filepath, sep=\",\", index_col=0, parse_dates=True)[\n",
+    "    \"Pt100 2\"\n",
+    "]  # See pandas' read_csv documentation for more options\n",
     "ts = ts.tz_localize(\"Europe/Amsterdam\")  # Set the timezone"
    ]
   },
diff --git a/docs/notebooks/15Matching_sections.ipynb b/docs/notebooks/15Matching_sections.ipynb
index c62ca7c3..a83c3730 100644
--- a/docs/notebooks/15Matching_sections.ipynb
+++ b/docs/notebooks/15Matching_sections.ipynb
@@ -129,10 +129,7 @@
     "rast_var, _ = ds_a.variance_stokes(st_label=\"rast\")\n",
     "\n",
     "ds_a.calibration_double_ended(\n",
-    "    st_var=st_var,\n",
-    "    ast_var=ast_var,\n",
-    "    rst_var=rst_var,\n",
-    "    rast_var=rast_var\n",
+    "    st_var=st_var, ast_var=ast_var, rst_var=rst_var, rast_var=rast_var\n",
     ")\n",
     "\n",
     "ds_a.isel(time=0).tmpw.plot(label=\"calibrated\")"
diff --git a/pyproject.toml b/pyproject.toml
index 8805f9fc..a87b681e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -74,7 +74,7 @@ dev = [
     "bump2version",
     "ruff",
     "isort",
-    "black",
+    "black[jupyter]",
     "mypy",
     "types-PyYAML",  # for pyyaml types
     "types-xmltodict",  # for xmltodict types
@@ -104,11 +104,11 @@ features = ["dev"]
 [tool.hatch.envs.default.scripts]
 lint = [
   "ruff check .",
-  "black --check src/",
+  "black --check .",
   "isort --check-only --diff .",
   "mypy src/",
 ]
-format = ["black src/", "isort .", "lint",]
+format = ["black .", "isort .", "lint",]
 test = ["pytest ./src/ ./tests/",]  # --doctest-modules
 coverage = [
   "pytest --cov --cov-report term --cov-report xml --junitxml=xunit-result.xml tests/",
@@ -186,8 +186,7 @@ line_length = 120
 
 [tool.black]
 line-length = 88
-target-version = ['py38', 'py39', 'py310']
-include = '\.pyi?$'
+target-version = ['py39', 'py310', 'py311']
 
 [tool.mypy]
 ignore_missing_imports = true  # Preferably false, but matplotlib, scipy and statsmodels are missing typing stubs