diff --git a/.github/workflows/flownet.yml b/.github/workflows/flownet.yml
index 355e83df5..3397b2439 100644
--- a/.github/workflows/flownet.yml
+++ b/.github/workflows/flownet.yml
@@ -28,27 +28,31 @@ jobs:
         uses: actions/checkout@v2
 
       - name: 🐍 Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v1
+        uses: actions/setup-python@v2
         with:
           python-version: ${{ matrix.python-version }}
 
       - name: 📁 Cache virtual environment
         id: cache-venv
-        uses: actions/cache@v1
+        uses: actions/cache@v2
         with:
-          path: $VENV_PATH
-          key: ${{ runner.os }}-${{ hashFiles('setup.py') }}-${{ hashFiles('build_environment.sh') }}
+          path: ${{ env.VENV_PATH }}
+          key: ${{ runner.os }}-${{ matrix.python-version }}-${{ hashFiles('build_environment.sh') }}-${{ hashFiles('setup.py') }}
 
       - name: 📦 Install non-python dependencies
         run: sudo bash ./apt_install.sh
 
       - name: 🏗️ Build Python environment
-        run: bash ./build_environment.sh $VENV_PATH /usr/bin/flow ${{ steps.cache-venv.outputs.cache-hit }}
+        if: steps.cache-venv.outputs.cache-hit != 'true'
+        run: bash ./build_environment.sh $VENV_PATH /usr/bin/flow
+
+      - name: 🏗️ Extract Norne Dataset
+        if: steps.cache-venv.outputs.cache-hit == 'true'
+        run: tar -zxvf tests/data/norne.tar.gz -C tests/data/
 
       - name: 📦 Install FlowNet
         run: |
           source $VENV_PATH/bin/activate
-          pip install "astroid==2.3.3" "pylint==2.4.4"  # Bugs in what is currently the latest releases
           pip install .
 
       - name: 📦 Install test dependencies
diff --git a/src/flownet/ahm/_assisted_history_matching.py b/src/flownet/ahm/_assisted_history_matching.py
index baf837bf3..83ac5819d 100644
--- a/src/flownet/ahm/_assisted_history_matching.py
+++ b/src/flownet/ahm/_assisted_history_matching.py
@@ -166,7 +166,7 @@ def report(self):
             for distribution in parameter.random_variables
         }
 
-        print(f"Unique parameter distributions:")
+        print("Unique parameter distributions:")
         print("\nDistribution             Minimum             Mean              Max")
         print("------------------------------------------------------------------")
 
diff --git a/src/flownet/ahm/_run_ahm.py b/src/flownet/ahm/_run_ahm.py
index 4d725903b..cb3dd970b 100644
--- a/src/flownet/ahm/_run_ahm.py
+++ b/src/flownet/ahm/_run_ahm.py
@@ -1,5 +1,5 @@
 import argparse
-from typing import Dict, Union, List, Optional
+from typing import Union, List, Optional
 
 import numpy as np
 import pandas as pd
@@ -56,7 +56,7 @@ def _find_training_set_fraction(
 
 
 def _get_distribution(
-    parameters: Union[str, List[str]], parameters_config: Dict, index: list
+    parameters: Union[str, List[str]], parameters_config: dict, index: list
 ) -> pd.DataFrame:
     """
     Create the distribution min-max for one or more parameters
@@ -294,7 +294,7 @@ def run_flownet_history_matching(
     # Fault transmissibility                #
     #########################################
 
-    if isinstance(network.faults, Dict):
+    if isinstance(network.faults, dict):
         fault_mult_dist_values = _get_distribution(
             ["fault_mult"], config.model_parameters, list(network.faults.keys()),
         )
diff --git a/src/flownet/data/from_flow.py b/src/flownet/data/from_flow.py
index d9a749a69..0c8fb3d6a 100644
--- a/src/flownet/data/from_flow.py
+++ b/src/flownet/data/from_flow.py
@@ -172,7 +172,7 @@ def _production_data(self) -> pd.DataFrame:
 
         if df_production_data["WSTAT"].isna().all():
             warnings.warn(
-                f"No WSTAT:* summary vectors in input case - setting default well status to OPEN."
+                "No WSTAT:* summary vectors in input case - setting default well status to OPEN."
             )
             wstat_default = "OPEN"
         else:
diff --git a/src/flownet/prediction/_run_pred.py b/src/flownet/prediction/_run_pred.py
index 6063dd5d2..d4e4a85d9 100644
--- a/src/flownet/prediction/_run_pred.py
+++ b/src/flownet/prediction/_run_pred.py
@@ -25,7 +25,7 @@ def _run_ert(output_folder: pathlib.Path) -> None:
 
     """
     subprocess.run(
-        f"ert ensemble_experiment pred_config.ert",
+        "ert ensemble_experiment pred_config.ert",
         cwd=output_folder,
         shell=True,
         check=True,