diff --git a/applying_neos.md b/applying_neos.md
index b0f0b76..652a2da 100644
--- a/applying_neos.md
+++ b/applying_neos.md
@@ -22,4 +22,3 @@ I've just released [`relaxed` v0.3.0](https://github.com/gradhep/relaxed), which
 ## reaching out
 
 If you're interested in working on this, please reach out to me through [Mattermost](https://mattermost.web.cern.ch/signup_user_complete/?id=zf7w5rb1miy85xsfjqm68q9hwr&md=link&sbr=su), or by email.
-
diff --git a/demo.ipynb b/demo.ipynb
index 867cde3..7672ccd 100644
--- a/demo.ipynb
+++ b/demo.ipynb
@@ -427,7 +427,6 @@
     "    scale_factors: dict[str, float],\n",
     "    include_bins: bool = True,\n",
     ") -> tuple[Array, dict[str, list]]:\n",
-    "\n",
     "    loss = partial(\n",
     "        pipeline,\n",
     "        nn=nn,\n",
diff --git a/examples/binning.ipynb b/examples/binning.ipynb
index 7a2f92a..c42f267 100644
--- a/examples/binning.ipynb
+++ b/examples/binning.ipynb
@@ -668,6 +668,7 @@
     "num_bins = 4\n",
     "pars = jnp.linspace(0, 8, num_bins + 1)\n",
     "\n",
+    "\n",
     "# differentiable significance pipeline\n",
     "def asimov_pipe(bins, s, b, bandwidth=1e-2):\n",
     "    # restrict bin edges so they don't overlap during optimisation\n",
@@ -732,6 +733,7 @@
     "\n",
     "from copy import deepcopy\n",
     "\n",
+    "\n",
     "# specify the workspace for a simple model with a three-point background systematic\n",
     "def correlated_background(signal, bkg, bkg_up, bkg_down):\n",
     "    spec = {\n",
@@ -768,6 +770,7 @@
     "\n",
     "from pyhf import interpolators\n",
     "\n",
+    "\n",
     "# pipeline to calculate the full CLs for the model, given a number of bins\n",
     "def pipe(num_bins):\n",
     "    def cls_pipe(bins, s, b, bup, bdown, bandwidth=1e-2, skeleton_model=None):\n",
diff --git a/examples/cuts.ipynb b/examples/cuts.ipynb
index 48d56a4..395285d 100644
--- a/examples/cuts.ipynb
+++ b/examples/cuts.ipynb
@@ -341,6 +341,7 @@
     "from jaxopt import OptaxSolver\n",
     "from optax import adam\n",
     "\n",
+    "\n",
     "# define something to minimise (1/significance)\n",
     "def loss(cut):\n",
     "    s_weights = relaxed.cut(sig, cut, slope) + 1e-4\n",
diff --git a/setup.cfg b/setup.cfg
index e783631..220aab8 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -9,7 +9,7 @@ author_email = n.s@cern.ch
 maintainer = Nathan Simpson
 maintainer_email = n.s@cern.ch
 license = BSD-3-Clause
-license_file = LICENSE
+license_files = LICENSE
 platforms =
     Any
 classifiers =
@@ -21,11 +21,6 @@ classifiers =
     Programming Language :: Python
     Programming Language :: Python :: 3
     Programming Language :: Python :: 3 :: Only
-    Programming Language :: Python :: 3.6
-    Programming Language :: Python :: 3.7
-    Programming Language :: Python :: 3.8
-    Programming Language :: Python :: 3.9
-    Programming Language :: Python :: 3.10
     Topic :: Scientific/Engineering
 project_urls =
     Documentation = https://neos.readthedocs.io/
@@ -41,7 +36,7 @@ install_requires =
     relaxed>=0.2.0
     sklearn
     typing-extensions>=3.7;python_version<'3.8'
-python_requires = >=3.6
+python_requires = >=3.8
 include_package_data = True
 package_dir =
     =src
diff --git a/src/neos/losses.py b/src/neos/losses.py
index 1710b0e..78e545f 100644
--- a/src/neos/losses.py
+++ b/src/neos/losses.py
@@ -10,7 +10,6 @@
 
 import jax.numpy as jnp
 import pyhf
-
 import relaxed
 
 Array = jnp.ndarray
diff --git a/src/neos/top_level.py b/src/neos/top_level.py
index 0f64ccb..bdb234c 100644
--- a/src/neos/top_level.py
+++ b/src/neos/top_level.py
@@ -10,8 +10,8 @@
 
 import jax.numpy as jnp
 import pyhf
-
 import relaxed
+
 from neos.losses import (
     cls_value,
     discovery_significance,