diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index b057ed79..995c5a42 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -19,27 +19,27 @@ repos:
       - id: trailing-whitespace
 
   - repo: https://github.com/rbubley/mirrors-prettier
-    rev: 1463d990e0801964764a375260dca598513f3be5 # frozen: v3.3.3
+    rev: bc7af46104f0f5368b95878decf720f9f00c2559 # frozen: v3.4.2
     hooks:
       - id: prettier
         files: \.(md|rst|yml|yaml)
         args: [--prose-wrap=preserve]
 
   - repo: https://github.com/MarcoGorelli/cython-lint
-    rev: 9247866fce7128f2c0eaf4a09f437880397d4689 # frozen: v0.16.2
+    rev: 1ac5158c1b0f405350517c218f03d3a21bbb381c # frozen: v0.16.6
     hooks:
       - id: cython-lint
         args: [--no-pycodestyle, --max-line-length=88]
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: 75b98813cfb7e663870a28c74366a1e99d7bfe79 # frozen: v0.6.9
+    rev: 8b76f04e7e5a9cd259e9d1db7799599355f97cdf # frozen: v0.8.2
     hooks:
       - id: ruff
         args: ["--fix", "--show-fixes", "--exit-non-zero-on-fix"]
       - id: ruff-format
 
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: "d4911cfb7f1010759fde68da196036feeb25b99d" # frozen: v1.11.2
+    rev: "f56614daa94d5cd733d3b7004c5df9caad267b4a" # frozen: v1.13.0
     hooks:
       - id: mypy
         additional_dependencies:
diff --git a/advanced/advanced_numpy/examples/wavreader.py b/advanced/advanced_numpy/examples/wavreader.py
index 5e32b01b..ff63d0cc 100644
--- a/advanced/advanced_numpy/examples/wavreader.py
+++ b/advanced/advanced_numpy/examples/wavreader.py
@@ -46,6 +46,5 @@
 f.close()
 
 print(
-    "Sample rate: %d, channels: %d"
-    % (wav_header["sample_rate"][0], wav_header["num_channels"][0])
+    f"Sample rate: {wav_header['sample_rate'][0]}, channels: {wav_header['num_channels'][0]}"
 )
diff --git a/advanced/debugging/to_debug.py b/advanced/debugging/to_debug.py
index fd2e3a1d..2b91355b 100644
--- a/advanced/debugging/to_debug.py
+++ b/advanced/debugging/to_debug.py
@@ -61,8 +61,7 @@ def compare_optimizers(optimizers):
     print("Benching 1D root-finder optimizers from scipy.optimize:")
     for optimizer in OPTIMIZERS:
         print(
-            "% 20s: % 8i total function calls"
-            % (optimizer.__name__, bench_optimizer(optimizer, param_grid))
+            f"{optimizer.__name__:>20s}: {bench_optimizer(optimizer, param_grid):>8d} total function calls"
         )
 
 
diff --git a/advanced/debugging/to_debug_solution.py b/advanced/debugging/to_debug_solution.py
index 48d92939..9e19f4bc 100644
--- a/advanced/debugging/to_debug_solution.py
+++ b/advanced/debugging/to_debug_solution.py
@@ -61,8 +61,7 @@ def compare_optimizers(optimizers):
     print("Benching 1D root-finder optimizers from scipy.optimize:")
     for optimizer in OPTIMIZERS:
         print(
-            "% 20s: % 8i total function calls"
-            % (optimizer.__name__, bench_optimizer(optimizer, param_grid))
+            f"{optimizer.__name__:>20s}: {bench_optimizer(optimizer, param_grid):>8d} total function calls"
         )
 
 
diff --git a/advanced/mathematical_optimization/examples/helper/compare_optimizers.py b/advanced/mathematical_optimization/examples/helper/compare_optimizers.py
index f298e73a..48140a4a 100644
--- a/advanced/mathematical_optimization/examples/helper/compare_optimizers.py
+++ b/advanced/mathematical_optimization/examples/helper/compare_optimizers.py
@@ -183,8 +183,8 @@ def mk_costs(ndim=2):
 
                 # Normalize across methods
                 x0_mean = np.mean(all_bench)
-                for method_name in function_bench:
-                    function_bench[method_name][-1] /= x0_mean
+                for _, values in function_bench.items():
+                    values[-1] /= x0_mean
             this_dim_benchs[cost_name] = function_bench
         gradient_less_benchs[ndim] = this_dim_benchs
         print(80 * "_")
diff --git a/advanced/mathematical_optimization/examples/plot_compare_optimizers.py b/advanced/mathematical_optimization/examples/plot_compare_optimizers.py
index 034106cb..29cea906 100644
--- a/advanced/mathematical_optimization/examples/plot_compare_optimizers.py
+++ b/advanced/mathematical_optimization/examples/plot_compare_optimizers.py
@@ -86,7 +86,7 @@
         ],
         "o",
         color=color,
-        label="# dim: %i" % n_dim,
+        label=f"# dim: {n_dim}",
     )
 plt.legend(
     loc=(0.47, 0.07),
diff --git a/advanced/scipy_sparse/examples/pyamg_with_lobpcg.py b/advanced/scipy_sparse/examples/pyamg_with_lobpcg.py
index 5713a4c2..0601831b 100644
--- a/advanced/scipy_sparse/examples/pyamg_with_lobpcg.py
+++ b/advanced/scipy_sparse/examples/pyamg_with_lobpcg.py
@@ -36,7 +36,7 @@
 
 for i in range(K):
     plt.subplot(3, 3, i + 1)
-    plt.title("Eigenvector %d" % i)
+    plt.title(f"Eigenvector {i}")
     plt.pcolor(V[:, i].reshape(N, N))
     plt.axis("equal")
     plt.axis("off")
diff --git a/packages/scikit-learn/examples/plot_bias_variance.py b/packages/scikit-learn/examples/plot_bias_variance.py
index b3cb2822..b5c03acb 100644
--- a/packages/scikit-learn/examples/plot_bias_variance.py
+++ b/packages/scikit-learn/examples/plot_bias_variance.py
@@ -139,7 +139,7 @@ def generating_func(x, rng=None, error=0.5):
     plt.legend(loc="best")
     plt.xlabel("number of train samples")
     plt.ylabel("explained variance")
-    plt.title("Learning curve (degree=%i)" % d)
+    plt.title(f"Learning curve (degree={d})")
     plt.tight_layout()
 
 
diff --git a/requirements.txt b/requirements.txt
index a76aa6be..9d1e7aca 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -18,6 +18,6 @@ Pillow
 pooch
 ipython
 pickleshare
-pre-commit==4.0
+pre-commit==4.0.1
 requests
 sphinxcontrib-jquery