diff --git a/.github/workflows/cd.yml b/.github/workflows/deployer.yml
similarity index 100%
rename from .github/workflows/cd.yml
rename to .github/workflows/deployer.yml
diff --git a/.github/workflows/master_cleaner.yml b/.github/workflows/master_cleaner.yml
new file mode 100644
index 00000000..e57837d7
--- /dev/null
+++ b/.github/workflows/master_cleaner.yml
@@ -0,0 +1,29 @@
+name: Master Cleaner
+
+on:
+  push:
+    branches:
+      - master
+      
+jobs:
+  formatter:
+    name: runner / black
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      
+      - uses: psf/black@stable
+        with:
+          src: "./ezyrb"
+
+      - name: Create Pull Request
+        uses: peter-evans/create-pull-request@v3
+        with:
+          token: ${{ secrets.GITHUB_TOKEN }}
+          title: "Format Python code with psf/black push"
+          commit-message: ":art: Format Python code with psf/black"
+          body: |
+            There appear to be some python formatting errors in ${{ github.sha }}. This pull request
+            uses the [psf/black](https://github.com/psf/black) formatter to fix these issues.
+          base: ${{ github.head_ref }} # Creates pull request onto pull request or commit branch
+          branch: actions/black
\ No newline at end of file
diff --git a/.github/workflows/monthly-tagger.yml b/.github/workflows/monthly-tagger.yml
new file mode 100644
index 00000000..c41ff9b9
--- /dev/null
+++ b/.github/workflows/monthly-tagger.yml
@@ -0,0 +1,46 @@
+name: "Monthly Tagger"
+
+on:
+  schedule:
+    - cron: '20 2 1 * *'
+
+jobs:
+
+  test:
+    runs-on: ${{ matrix.os }}
+    strategy:
+      matrix:
+        os: [windows-latest, macos-latest, ubuntu-latest]
+        python-version: ['3.9', '3.10', '3.11', '3.12', '3.13'] 
+    steps:
+    - uses: actions/checkout@v4
+    - name: Set up Python
+      uses: actions/setup-python@v5
+      with:
+        python-version: ${{ matrix.python-version }}
+    - name: Install Python dependencies
+      run: |
+        python3 -m pip install --upgrade pip
+        python3 -m pip install .[test]
+    - name: Test with pytest
+      run: |
+        python3 -m pytest
+        
+  monthly_tag:
+    runs-on: ubuntu-latest
+    needs: test
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          token: ${{ secrets.PAT_EZYRB_PUSH }}
+
+      - name: Create and push the tag
+        run: |
+          python utils/mathlab_versioning.py set --only-date "post$(date +%y%m)"
+          VERS=$(python utils/mathlab_versioning.py get)
+          git config --global user.name 'Monthly Tag bot'
+          git config --global user.email 'mtbot@noreply.github.com'
+          git add pyproject.toml
+          git commit -m "monthly version $VERS"
+          git tag -a "v$VERS" -m "Monthly version $VERS"
+          git push origin "v$VERS"
diff --git a/.github/workflows/tester.yml b/.github/workflows/tester.yml
new file mode 100644
index 00000000..bed76eef
--- /dev/null
+++ b/.github/workflows/tester.yml
@@ -0,0 +1,120 @@
+name: "Testing Pull Request"
+
+on:
+  pull_request:
+    branches:
+      - "master"
+
+jobs:
+  build:
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [windows-latest, macos-latest, ubuntu-latest]
+        python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
+
+    env:
+      CFLAGS: "-Wno-error=implicit-function-declaration -Wno-error=incompatible-pointer-types"
+      CXXFLAGS: "-Wno-error=implicit-function-declaration -Wno-error=incompatible-pointer-types"
+        
+    steps:
+    - uses: actions/checkout@v4
+
+    - name: Set up Python
+      uses: actions/setup-python@v4
+      with:
+        python-version: ${{ matrix.python-version }}
+
+    - name: Install system dependencies (Linux)
+      if: runner.os == 'Linux'
+      run: |
+        sudo apt-get update
+        sudo apt-get install -y libboost-serialization-dev libprotobuf-dev protobuf-compiler libopenblas-dev liblapack-dev
+
+    - name: Set up Java for PyCOMPSs
+      if: runner.os == 'Linux'
+      uses: actions/setup-java@v3
+      with:
+        distribution: 'temurin'
+        java-version: '11'
+
+    - name: Install Python dependencies
+      shell: bash
+      run: |
+        python3 -m pip install --upgrade pip
+        python3 -m pip install setuptools wheel
+        if [ "$RUNNER_OS" == "Linux" ]; then 
+          python3 -m pip install pycompss --no-build-isolation
+        fi
+        python3 -m pip install .[test]
+
+    - name: Test with pytest
+      shell: bash
+      run: |
+        if [ "$RUNNER_OS" == "Linux" ]; then 
+          python3 -m pytest
+        else 
+          python3 -m pytest --ignore=tests/test_parallel/
+        fi
+
+  linter: ####################################################################
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      
+      - name: Run Black formatter (check mode)
+        uses: psf/black@stable
+        with:
+          src: "./ezyrb"
+
+  testdocs: ##################################################################
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v4
+
+    - name: Install system dependencies
+      run: sudo apt-get update && sudo apt-get install -y pandoc
+
+    - name: Install Python dependencies
+      run: python3 -m pip install .[docs]
+
+    - name: Build Documentation
+      run: |
+        make html
+      working-directory: docs/
+
+  coverage: ##################################################################
+    runs-on: ubuntu-latest
+    permissions:
+      contents: write
+      pull-requests: write
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install system dependencies (Linux)
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y libboost-serialization-dev libprotobuf-dev protobuf-compiler libopenblas-dev liblapack-dev
+
+      - name: Install Python dependencies
+        run: |
+          python3 -m pip install --upgrade pip
+          python3 -m pip install setuptools wheel
+          python3 -m pip install pycompss --no-build-isolation
+          python3 -m pip install .[test]
+        
+      - name: Generate coverage report
+        run: |
+            python3 -m pytest --cov-report term --cov-report xml:cobertura.xml --cov=ezyrb
+
+      - name: Produce the coverage report
+        if: github.event.pull_request.head.repo.full_name == github.repository
+        uses: insightsengineering/coverage-action@v2
+        with:
+          path: ./cobertura.xml
+          threshold: 80.00
+          fail: true
+          publish: ${{ github.event.pull_request.head.repo.full_name == github.repository }}
+          coverage-summary-title: "Code Coverage Summary"
\ No newline at end of file
diff --git a/.github/workflows/testing_pr.yml b/.github/workflows/testing_pr.yml
deleted file mode 100644
index bbdef74f..00000000
--- a/.github/workflows/testing_pr.yml
+++ /dev/null
@@ -1,59 +0,0 @@
-name: "Testing Pull Request"
-
-on:
-  pull_request:
-    branches:
-      - "master"
-
-jobs:
-  build:
-    runs-on: ${{ matrix.os }}
-    strategy:
-      fail-fast: false
-      matrix:
-        os: [windows-latest, macos-latest, ubuntu-latest]
-        python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
-
-    env:
-      CFLAGS: "-Wno-error=implicit-function-declaration -Wno-error=incompatible-pointer-types"
-      CXXFLAGS: "-Wno-error=implicit-function-declaration -Wno-error=incompatible-pointer-types"
-        
-    steps:
-    - uses: actions/checkout@v4
-
-    - name: Set up Python
-      uses: actions/setup-python@v4
-      with:
-        python-version: ${{ matrix.python-version }}
-
-    - name: Install system dependencies (Linux)
-      if: runner.os == 'Linux'
-      run: |
-        sudo apt-get update
-        sudo apt-get install -y libboost-serialization-dev libprotobuf-dev protobuf-compiler libopenblas-dev liblapack-dev
-
-    - name: Set up Java for PyCOMPSs
-      if: runner.os == 'Linux'
-      uses: actions/setup-java@v3
-      with:
-        distribution: 'temurin'
-        java-version: '11'
-
-    - name: Install Python dependencies
-      shell: bash
-      run: |
-        python3 -m pip install --upgrade pip
-        python3 -m pip install setuptools wheel
-        if [ "$RUNNER_OS" == "Linux" ]; then 
-          python3 -m pip install pycompss --no-build-isolation
-        fi
-        python3 -m pip install .[test]
-
-    - name: Test with pytest
-      shell: bash
-      run: |
-        if [ "$RUNNER_OS" == "Linux" ]; then 
-          python3 -m pytest
-        else 
-          python3 -m pytest --ignore=tests/test_parallel/
-        fi
\ No newline at end of file
diff --git a/.github/workflows/tutorial_exporter.yml b/.github/workflows/tutorial_exporter.yml
new file mode 100644
index 00000000..7585faf7
--- /dev/null
+++ b/.github/workflows/tutorial_exporter.yml
@@ -0,0 +1,140 @@
+name: "Export Tutorials"
+
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - "dev"
+      - "master"
+    paths:
+      - 'tutorials/**/*.ipynb'
+
+jobs:
+  # run on push
+  export_tutorials_on_push:
+    if: ${{ github.event_name == 'push' }}
+    permissions: write-all
+    runs-on: ubuntu-latest
+    env:
+      TUTORIAL_TIMEOUT: 1200s
+    steps:
+    - uses: actions/checkout@v4
+
+    - name: Set up Python
+      uses: actions/setup-python@v5
+      with:
+        python-version: '3.10'
+
+    - name: Install dependencies
+      run: |
+        # Dependencies for tutorials
+        python3 -m pip install --upgrade pip .[tutorial,docs] black[jupyter]
+    - name: Setup FFmpeg
+      uses: FedericoCarboni/setup-ffmpeg@v2
+
+    - id: files
+      uses: jitterbit/get-changed-files@v1
+      with:
+        token: ${{ secrets.GITHUB_TOKEN }}
+        format: space-delimited
+
+    - name: Configure git
+      run: |
+        git config user.name "github-actions[bot]"
+        git config user.email 41898282+github-actions[bot]@users.noreply.github.com
+
+    - name: Run formatter
+      run: black tutorials/
+
+    - name: Export tutorials to .py and .html
+      run: |
+        set -x
+        for file in ${{ steps.files.outputs.all }}; do
+          if [[ $file == *.ipynb ]]; then
+            filename=$(basename $file)
+            pyfilename=$(echo ${filename%?????})py
+            timeout --signal=SIGKILL $TUTORIAL_TIMEOUT python -Xfrozen_modules=off -m jupyter nbconvert $file --to python --output $pyfilename --output-dir=$(dirname $file)
+            htmlfilename=$(echo ${filename%?????} | sed -e 's/-//g')html
+            htmldir="docs/source"/$(echo ${file%??????????????} | sed -e 's/-//g')
+            timeout --signal=SIGKILL $TUTORIAL_TIMEOUT python -Xfrozen_modules=off -m jupyter nbconvert --execute $file --to html --output $htmlfilename --output-dir=$htmldir
+          fi
+        done
+        set +x
+        
+    - uses: benjlevesque/short-sha@v2.1
+      id: short-sha
+
+    - name: Remove unwanted files
+      run: |
+        rm -rf build/ tutorials/tutorial4/data/
+
+    - name: Create Pull Request
+      uses: peter-evans/create-pull-request@v5.0.2
+      with:
+        labels: maintenance
+        title: Export tutorial changed in ${{ steps.short-sha.outputs.sha }}
+        branch: export-tutorial-${{ steps.short-sha.outputs.sha }}
+        base: ${{ github.head_ref }}
+        commit-message: export tutorials changed in ${{ steps.short-sha.outputs.sha }}
+        delete-branch: true
+
+  # run on workflow_dispatch
+  export_tutorials_workflow_dispatch:
+    if: ${{ github.event_name == 'workflow_dispatch' }}
+    permissions: write-all
+    runs-on: ubuntu-latest
+    env:
+      TUTORIAL_TIMEOUT: 1200s
+    steps:
+    - uses: actions/checkout@v4
+
+    - name: Set up Python
+      uses: actions/setup-python@v5
+      with:
+        python-version: '3.10'
+
+    - name: Install dependencies
+      run: |
+        python3 -m pip install --upgrade pip .[tutorial,docs] black[jupyter]
+
+    - name: Setup FFmpeg
+      uses: FedericoCarboni/setup-ffmpeg@v2
+
+    - name: Configure git
+      run: |
+        git config user.name "github-actions[bot]"
+        git config user.email 41898282+github-actions[bot]@users.noreply.github.com
+
+    - name: Run formatter
+      run: black tutorials/
+
+    - name: Export all tutorials to .py and .html
+      run: |
+        set -x
+        # Find all .ipynb files in the tutorials directory
+        for file in $(find tutorials -type f -name "*.ipynb"); do
+          filename=$(basename $file)
+          pyfilename="${filename%.ipynb}.py"
+          timeout --signal=SIGKILL $TUTORIAL_TIMEOUT python -Xfrozen_modules=off -m jupyter nbconvert $file --to python --output $pyfilename --output-dir=$(dirname $file)
+          htmlfilename="${filename%.ipynb}.html"
+          htmldir="docs/source"/$(dirname $file)
+          timeout --signal=SIGKILL $TUTORIAL_TIMEOUT python -Xfrozen_modules=off -m jupyter nbconvert --execute $file --to html --output $htmlfilename --output-dir=$htmldir
+        done
+        set +x
+
+    - uses: benjlevesque/short-sha@v2.1
+      id: short-sha
+
+    - name: Remove unwanted files
+      run: |
+        rm -rf build/ tutorials/tutorial4/data/
+
+    - name: Create Pull Request
+      uses: peter-evans/create-pull-request@v5.0.2
+      with:
+        labels: maintenance
+        title: Export tutorial changed in ${{ steps.short-sha.outputs.sha }}
+        branch: export-tutorial-${{ steps.short-sha.outputs.sha }}
+        base: ${{ github.head_ref }}
+        commit-message: export tutorials changed in ${{ steps.short-sha.outputs.sha }}
+        delete-branch: true
diff --git a/ezyrb/approximation/kneighbors_regressor.py b/ezyrb/approximation/kneighbors_regressor.py
index e3c64c5f..0776289e 100644
--- a/ezyrb/approximation/kneighbors_regressor.py
+++ b/ezyrb/approximation/kneighbors_regressor.py
@@ -33,7 +33,5 @@ def __init__(self, **kwargs):
 
         :param kwargs: Arguments passed to sklearn's KNeighborsRegressor.
         """
-        logger.debug(
-            "Initializing KNeighborsRegressor with kwargs: %s", kwargs
-        )
+        logger.debug("Initializing KNeighborsRegressor with kwargs: %s", kwargs)
         self.regressor = Regressor(**kwargs)
diff --git a/ezyrb/parallel/__init__.py b/ezyrb/parallel/__init__.py
index 91e7e253..87e5ce0a 100644
--- a/ezyrb/parallel/__init__.py
+++ b/ezyrb/parallel/__init__.py
@@ -18,6 +18,7 @@
 from .reduction import Reduction
 from .pod import POD
 from .ae import AE
+
 try:
     from .ae_eddl import AE_EDDL
 except ImportError:
diff --git a/ezyrb/parallel/ae_eddl.py b/ezyrb/parallel/ae_eddl.py
index 673c6df2..9c47f2bd 100644
--- a/ezyrb/parallel/ae_eddl.py
+++ b/ezyrb/parallel/ae_eddl.py
@@ -165,9 +165,7 @@ def __setstate__(self, state):
             # (n) hidden layers + (n-1) activation layers + (1) input layer
             n = len(self.layers_encoder)
             encoder_layer_index = 2 * n - 1
-            self.model_Autoencoder = eddl.import_net_from_onnx_file(
-                self.file_1
-            )
+            self.model_Autoencoder = eddl.import_net_from_onnx_file(self.file_1)
             self.encoder = self.model_Autoencoder.layers[encoder_layer_index]
             self.decoder = self.model_Autoencoder.layers[-1]
 
@@ -339,9 +337,7 @@ def fit(self, values):
                 for j in range(num_batches):
                     # 1) using next_batch
                     eddl.next_batch([values], [xbatch])
-                    eddl.train_batch(
-                        self.model_Autoencoder, [xbatch], [xbatch]
-                    )
+                    eddl.train_batch(self.model_Autoencoder, [xbatch], [xbatch])
 
                 losses = eddl.get_losses(self.model_Autoencoder)
                 metrics = eddl.get_metrics(self.model_Autoencoder)
diff --git a/ezyrb/parallel/pod.py b/ezyrb/parallel/pod.py
index 60548fe6..a535cda7 100644
--- a/ezyrb/parallel/pod.py
+++ b/ezyrb/parallel/pod.py
@@ -18,7 +18,7 @@
     # Fallback: Define a 'do-nothing' decorator and dummy constants
     def task(*args, **kwargs):
         return lambda f: f
-    
+
     INOUT = None
     IN = None
 
diff --git a/ezyrb/parallel/reducedordermodel.py b/ezyrb/parallel/reducedordermodel.py
index 8df6e28c..b0571303 100644
--- a/ezyrb/parallel/reducedordermodel.py
+++ b/ezyrb/parallel/reducedordermodel.py
@@ -43,10 +43,10 @@ def fit(self, *args, **kwargs):
         """
         # Assign the initial training database
         self.train_full_database = self.database
-        
+
         self._execute_plugins("fit_preprocessing")
         self._execute_plugins("fit_before_reduction")
-        
+
         # Fit reduction and transform
         self.reduction.fit(self.train_full_database.snapshots_matrix.T)
         reduced_output = self.reduction.transform(
@@ -63,33 +63,40 @@ def fit(self, *args, **kwargs):
 
         # Fit approximation on the reduced database
         self.approximation.fit(
-            self.train_reduced_database.parameters_matrix, 
-            self.train_reduced_database.snapshots_matrix, 
-            *args, **kwargs
+            self.train_reduced_database.parameters_matrix,
+            self.train_reduced_database.snapshots_matrix,
+            *args,
+            **kwargs,
         )
 
         self._execute_plugins("fit_after_approximation")
         self._execute_plugins("fit_postprocessing")
-        
+
         return self
 
     def predict(self, parameters):
         r"""
         Predict the solution for given parameters mu.
-        
-        This method distributes the evaluation tasks across the 
+
+        This method distributes the evaluation tasks across the
         available computational nodes using the PyCOMPSs framework.
         """
-        is_db = hasattr(parameters, 'parameters_matrix')
-        mu = parameters.parameters_matrix if is_db else np.atleast_2d(parameters)
-        
+        is_db = hasattr(parameters, "parameters_matrix")
+        mu = (
+            parameters.parameters_matrix if is_db else np.atleast_2d(parameters)
+        )
+
         # Setup dummy test_full_database required by some preprocessing plugins
-        dummy_snaps = np.zeros((len(mu), self.train_full_database.snapshots_matrix.shape[1]))
+        dummy_snaps = np.zeros(
+            (len(mu), self.train_full_database.snapshots_matrix.shape[1])
+        )
         self.test_full_database = Database(mu, dummy_snaps)
 
-        # The scaler plugin modifies parameters here BEFORE approximation, 
+        # The scaler plugin modifies parameters here BEFORE approximation,
         # so we must initialize this object early with dummy snapshots.
-        dummy_red_snaps = np.zeros((len(mu), self.train_reduced_database.snapshots_matrix.shape[1]))
+        dummy_red_snaps = np.zeros(
+            (len(mu), self.train_reduced_database.snapshots_matrix.shape[1])
+        )
         self.predict_reduced_database = Database(mu, dummy_red_snaps)
 
         self._execute_plugins("predict_preprocessing")
@@ -99,11 +106,10 @@ def predict(self, parameters):
         predicted_red_sol = self.approximation.predict(
             self.predict_reduced_database.parameters_matrix
         )
-        
+
         # Update by creating a NEW database, as snapshots_matrix is read-only
         self.predict_reduced_database = Database(
-            self.predict_reduced_database.parameters_matrix, 
-            predicted_red_sol
+            self.predict_reduced_database.parameters_matrix, predicted_red_sol
         )
 
         self._execute_plugins("predict_after_approximation")
@@ -132,8 +138,8 @@ def test_error(self, test, norm=np.linalg.norm, relative=True):
         test snapshots.
         """
         predicted_test = self.predict(test.parameters_matrix)
-        
-        if hasattr(predicted_test, 'snapshots_matrix'):
+
+        if hasattr(predicted_test, "snapshots_matrix"):
             pred_snaps = predicted_test.snapshots_matrix
         else:
             pred_snaps = predicted_test
@@ -144,9 +150,7 @@ def test_error(self, test, norm=np.linalg.norm, relative=True):
                 / norm(test.snapshots_matrix, axis=1)
             )
         else:
-            return np.mean(
-                norm(pred_snaps - test.snapshots_matrix, axis=1)
-            )
+            return np.mean(norm(pred_snaps - test.snapshots_matrix, axis=1))
 
     def save(self, fname, save_db=True, save_reduction=True, save_approx=True):
         """Save the object to `fname` using the pickle module."""
@@ -181,12 +185,12 @@ def kfold_cv_error(self, n_splits, *args, norm=np.linalg.norm, **kwargs):
                 new_db,
                 copy.deepcopy(self.reduction),
                 copy.deepcopy(self.approximation),
-                plugins=[copy.deepcopy(p) for p in self.plugins]
+                plugins=[copy.deepcopy(p) for p in self.plugins],
             ).fit(*args, **kwargs)
 
             test = self.database[test_index]
             pred = rom.predict(test.parameters_matrix)
-            if hasattr(pred, 'snapshots_matrix'):
+            if hasattr(pred, "snapshots_matrix"):
                 pred = pred.snapshots_matrix
             predicted_test.append(pred)
             original_test.append(test.snapshots_matrix)
@@ -219,11 +223,11 @@ def loo_error(self, *args, norm=np.linalg.norm, **kwargs):
                 new_db,
                 copy.deepcopy(self.reduction),
                 copy.deepcopy(self.approximation),
-                plugins=[copy.deepcopy(p) for p in self.plugins]
+                plugins=[copy.deepcopy(p) for p in self.plugins],
             ).fit(*args, **kwargs)
 
             pred = rom.predict(test_db.parameters_matrix)
-            if hasattr(pred, 'snapshots_matrix'):
+            if hasattr(pred, "snapshots_matrix"):
                 pred = pred.snapshots_matrix
             predicted_test.append(pred)
             original_test.append(test_db.snapshots_matrix)
@@ -268,4 +272,4 @@ def _simplex_volume(self, vertices):
         distance = np.transpose([vertices[0] - vi for vi in vertices[1:]])
         return np.abs(
             np.linalg.det(distance) / math.factorial(vertices.shape[1])
-        )
\ No newline at end of file
+        )
diff --git a/ezyrb/reducedordermodel.py b/ezyrb/reducedordermodel.py
index 6f6ef9b2..23a3a356 100644
--- a/ezyrb/reducedordermodel.py
+++ b/ezyrb/reducedordermodel.py
@@ -451,9 +451,7 @@ def test_error(self, test, norm=np.linalg.norm, relative=True):
                 / norm(test.snapshots_matrix, axis=1)
             )
         else:
-            return np.mean(
-                norm(predicted_test - test.snapshots_matrix, axis=1)
-            )
+            return np.mean(norm(predicted_test - test.snapshots_matrix, axis=1))
 
     def kfold_cv_error(
         self, n_splits, *args, norm=np.linalg.norm, relative=True, **kwargs
diff --git a/ezyrb/snapshot.py b/ezyrb/snapshot.py
index d1712941..ece11d35 100644
--- a/ezyrb/snapshot.py
+++ b/ezyrb/snapshot.py
@@ -84,9 +84,7 @@ def values(self, new_values):
 
         self._values = new_values
         if new_values is not None:
-            logger.debug(
-                "Snapshot values set with length: %d", len(new_values)
-            )
+            logger.debug("Snapshot values set with length: %d", len(new_values))
         else:
             logger.debug("Snapshot values set to None")
 
diff --git a/pyproject.toml b/pyproject.toml
index 33e82139..ccd65d88 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -40,6 +40,10 @@ dev = [
 parallel = [
     "pycompss"
 ]
+tutorial = [
+    "jupyter",
+    "smithers"
+]
 
 [project.urls]
 Homepage = "https://github.com/mathLab/EZyRB"