diff --git a/.github/workflows/pre-commit.yml b/.github/workflows/pre-commit.yml
index c59b286c..9f1ce08e 100644
--- a/.github/workflows/pre-commit.yml
+++ b/.github/workflows/pre-commit.yml
@@ -32,7 +32,7 @@ jobs:
       with:
         persist-credentials: false
     - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
-    - uses: actions/cache@668228422ae6a00e4ad889ee87cd7109ec5666a7 # v5.0.4
+    - uses: actions/cache@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5
       with:
         path: ~/.cache/pre-commit
         key: pre-commit|${{ env.pythonLocation }}|${{ hashFiles('.pre-commit-config.yaml') }}
diff --git a/.github/workflows/zizmor.yml b/.github/workflows/zizmor.yml
index 7eaacc55..7c982f30 100644
--- a/.github/workflows/zizmor.yml
+++ b/.github/workflows/zizmor.yml
@@ -26,6 +26,6 @@ jobs:
           persist-credentials: false
 
       - name: Run zizmor
-        uses: zizmorcore/zizmor-action@71321a20a9ded102f6e9ce5718a2fcec2c4f70d8 # v0.5.2
+        uses: zizmorcore/zizmor-action@b1d7e1fb5de872772f31590499237e7cce841e8e # v0.5.3
         with:
           persona: pedantic
diff --git a/docs/data-processing/apis/fastapi/example.rst b/docs/data-processing/apis/fastapi/example.rst
index e097d687..0f94c9cd 100644
--- a/docs/data-processing/apis/fastapi/example.rst
+++ b/docs/data-processing/apis/fastapi/example.rst
@@ -16,7 +16,6 @@ Erstellt die Datei :file:`main.py` mit diesem Inhalt:
 
     from fastapi import FastAPI
 
-
     app = FastAPI()
 
 
@@ -81,7 +80,6 @@ zu erhalten:
 
     from fastapi import FastAPI
 
-
     app = FastAPI()
 
 
diff --git a/docs/data-processing/apis/grpc/accounts_server.py b/docs/data-processing/apis/grpc/accounts_server.py
index 4370e728..35ea8525 100644
--- a/docs/data-processing/apis/grpc/accounts_server.py
+++ b/docs/data-processing/apis/grpc/accounts_server.py
@@ -3,7 +3,6 @@
 # SPDX-License-Identifier: BSD-3-Clause
 
 import logging
-
 from concurrent import futures
 
 import accounts_pb2 as accounts_messages
diff --git a/docs/data-processing/apis/grpc/tests/test_accounts.py b/docs/data-processing/apis/grpc/tests/test_accounts.py
index 5761c136..0608f451 100644
--- a/docs/data-processing/apis/grpc/tests/test_accounts.py
+++ b/docs/data-processing/apis/grpc/tests/test_accounts.py
@@ -6,7 +6,6 @@
 
 import grpc
 import pytest
-
 from accounts_pb2 import CreateAccountRequest, GetAccountsRequest
 
 
diff --git a/docs/data-processing/postgresql/sqlalchemy.rst b/docs/data-processing/postgresql/sqlalchemy.rst
index 3d00b9ea..cd04f65f 100644
--- a/docs/data-processing/postgresql/sqlalchemy.rst
+++ b/docs/data-processing/postgresql/sqlalchemy.rst
@@ -44,7 +44,6 @@ Datenbankverbindung
 
     from sqlalchemy import create_engine
 
-
     engine = create_engine("postgresql:///example", echo=True)
 
 Datenmodell
@@ -56,7 +55,6 @@ Datenmodell
     from sqlalchemy.ext.declarative import declarative_base
     from sqlalchemy.orm import relationship
 
-
     Base = declarative_base()
 
 
diff --git a/docs/data-processing/serialisation-formats/toml/index.rst b/docs/data-processing/serialisation-formats/toml/index.rst
index ef548fde..ebb6a607 100644
--- a/docs/data-processing/serialisation-formats/toml/index.rst
+++ b/docs/data-processing/serialisation-formats/toml/index.rst
@@ -66,7 +66,6 @@ Beispiel
 
     import toml
 
-
     config = toml.load("pyproject.toml")
 
 .. seealso::
diff --git a/docs/performance/ds_kmeans.py b/docs/performance/ds_kmeans.py
index 2039e1d1..0c528ca2 100644
--- a/docs/performance/ds_kmeans.py
+++ b/docs/performance/ds_kmeans.py
@@ -3,7 +3,6 @@
 # SPDX-License-Identifier: BSD-3-Clause
 
 import numpy as np
-
 from dask import array as da
 from dask import dataframe as dd
 
diff --git a/docs/performance/index.rst b/docs/performance/index.rst
index 4a179198..13ac6776 100644
--- a/docs/performance/index.rst
+++ b/docs/performance/index.rst
@@ -58,7 +58,6 @@ Beispieldaten können wir uns erstellen mit:
 
     from sklearn.datasets import make_blobs
 
-
     points, labels_true = make_blobs(
         n_samples=1000, centers=3, random_state=0, cluster_std=0.60
     )
@@ -136,7 +135,6 @@ k-Means-Algorithmus gibt es sogar gleich zwei Implementierungen:
 
      from sklearn.cluster import KMeans
 
-
      KMeans(10).fit_predict(points)
 
 * `dask_ml.cluster.KMeans
@@ -146,7 +144,6 @@ k-Means-Algorithmus gibt es sogar gleich zwei Implementierungen:
 
      from dask_ml.cluster import KMeans
 
-
      KMeans(10).fit(points).predict(points)
 
 Gegen diese bestehenden Lösungen könnte bestenfalls sprechen, dass sie einen
diff --git a/docs/performance/sp_kmeans.py b/docs/performance/sp_kmeans.py
index 901e6182..81f4289a 100644
--- a/docs/performance/sp_kmeans.py
+++ b/docs/performance/sp_kmeans.py
@@ -4,7 +4,6 @@
 
 import numpy as np
 import pandas as pd
-
 from scipy.spatial import cKDTree