diff --git a/.cspell.json b/.cspell.json
index 83ffbff..bdd9ae2 100644
--- a/.cspell.json
+++ b/.cspell.json
@@ -15,6 +15,11 @@
       "addWords": true,
       "name": "physics",
       "path": "./.cspell/physics.txt"
+    },
+    {
+      "addWords": true,
+      "name": "python",
+      "path": "./.cspell/python.txt"
     }
   ],
   "enableFiletypes": ["julia", "quarto"],
@@ -25,6 +30,7 @@
     ".github/workflows",
     ".gitignore",
     ".pre-commit-config.yaml",
+    ".prettierignore",
     ".taplo.toml",
     ".vscode/*.json",
     "json_options.jl",
@@ -42,6 +48,10 @@
     {
       "dictionaries": ["julia", "physics", "project"],
       "languageId": ["julia", "quarto", "text"]
+    },
+    {
+      "dictionaries": ["physics", "project", "python"],
+      "languageId": ["julia", "quarto", "text"]
     }
   ],
   "version": "0.2"
diff --git a/.cspell/physics.txt b/.cspell/physics.txt
index 72929eb..6e0889d 100644
--- a/.cspell/physics.txt
+++ b/.cspell/physics.txt
@@ -12,4 +12,5 @@ lineshape
 lineshapes
 parametrizations
 recoupling
+recouplings
 Weisskopf
diff --git a/.cspell/project.txt b/.cspell/project.txt
index fa1658e..046cd67 100644
--- a/.cspell/project.txt
+++ b/.cspell/project.txt
@@ -1,3 +1,4 @@
+callout
 Mikhasenko
 Misha
 multline
diff --git a/.cspell/python.txt b/.cspell/python.txt
new file mode 100644
index 0000000..a6a9bed
--- /dev/null
+++ b/.cspell/python.txt
@@ -0,0 +1,21 @@
+ampform
+aslatex
+figsize
+funcs
+isnan
+Kallen
+lambdify
+linspace
+matplotlib
+meshgrid
+nansum
+numpy
+pathlib
+pcolormesh
+phasespace
+pyplot
+sympy
+tqdm
+xlabel
+xreplace
+ylabel
diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index 658e9ff..467912a 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -1,5 +1,13 @@
 name: Documentation
 
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: |-
+    ${{ github.ref != format('refs/heads/{0}', github.event.repository.default_branch) }}
+
+env:
+  PYTHONHASHSEED: "0"
+
 on:
   pull_request:
     branches:
@@ -36,6 +44,16 @@ jobs:
             jupyter-cache
           path: |
             **/.jupyter_cache
+      - name: General caches
+        uses: actions/cache@v4
+        with:
+          key: |
+            home-cache-${{hashFiles('pixi.lock')}}-${{hashFiles('docs/*/*.md')}}
+          restore-keys: |
+            home-cache-${{hashFiles('pixi.lock')}}
+            home-cache
+          path: |
+            ~/.cache
       - run: pixi run doc
       - if: always()
         uses: actions/upload-pages-artifact@v3
diff --git a/.gitignore b/.gitignore
index 031edf5..e6298e3 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,5 +1,6 @@
 *.egg-info/
 .ipynb_checkpoints/
 .pixi/
+.virtual_documents/
 _build/
 node_modules/
diff --git a/.prettierignore b/.prettierignore
new file mode 100644
index 0000000..fa65608
--- /dev/null
+++ b/.prettierignore
@@ -0,0 +1 @@
+*.ipynb
diff --git a/.vscode/settings.json b/.vscode/settings.json
index fbe3486..c6d331d 100644
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -8,6 +8,9 @@
   "[markdown]": {
     "editor.defaultFormatter": "esbenp.prettier-vscode"
   },
+  "[quarto]": {
+    "editor.defaultFormatter": "esbenp.prettier-vscode"
+  },
   "[yaml]": {
     "editor.defaultFormatter": "esbenp.prettier-vscode"
   },
diff --git a/docs/python/lc2pkpi.qmd b/docs/python/lc2pkpi.qmd
index b99a9b9..e292f01 100644
--- a/docs/python/lc2pkpi.qmd
+++ b/docs/python/lc2pkpi.qmd
@@ -2,8 +2,507 @@
 jupyter: python3
 ---
 
-# Test
+# $\Lambda_c^+ \to p K^- \pi^+$c
+This notebooks illustrates the use of the [`ampform_dpd.io.serialization`](https://ampform-dpd.rtfd.io/0.2.1rc1/api/ampform_dpd.io.serialization.html) module for the decay $\Lambda_c^+ \to p K^- \pi^+$. The corresponding model was optimized to a data sample of roughly half a million $\Lambda_c^{\pm}$ decay candidates by the LHCb collaboration, [INSPIRE-HEP 2683025](https://inspirehep.net/literature/2683025).
+
+::: {.callout-warning}
+The [`ampform_dpd.io.serialization`](https://ampform-dpd.readthedocs.io/0.2.1rc0/api/ampform_dpd.io.serializatoin/) module is a preview feature. This notebook illustrates the deserialization of the amplitude model JSON file to symbolic expressions. Keep an eye on [ComPWA/ampform-dpd#133](https://github.com/ComPWA/ampform-dpd/issues/133) for a list of tracked issues.
+:::
+
+## Import model
+
+```{python}
+#| code-fold: true
+#| code-summary: Import Python libraries
+from __future__ import annotations
+from pathlib import Path
+import json
+import logging
+import os
+
+import jax.numpy as jnp
+import matplotlib.pyplot as plt
+import pandas as pd
+import sympy as sp
+from ampform.dynamics import BlattWeisskopfSquared
+from ampform.dynamics.form_factor import FormFactor
+from ampform.dynamics.phasespace import BreakupMomentumSquared
+from ampform.kinematics.phasespace import Kallen
+from ampform.sympy import perform_cached_doit
+from ampform_dpd import DefinedExpression
+from ampform_dpd.decay import FinalStateID, State, ThreeBodyDecay
+from ampform_dpd.dynamics import (
+    BreitWigner,
+    BuggBreitWigner,
+    ChannelArguments,
+    EnergyDependentWidth,
+    MultichannelBreitWigner,
+    P,
+    SimpleBreitWigner,
+)
+from ampform_dpd.io import aslatex, perform_cached_lambdify, simplify_latex_rendering
+from ampform_dpd.io.serialization.amplitude import (
+    HelicityRecoupling,
+    LSRecoupling,
+    ParityRecoupling,
+    formulate,
+    formulate_aligned_amplitude,
+    formulate_chain_amplitude,
+    formulate_recoupling,
+)
+from ampform_dpd.io.serialization.decay import get_final_state, to_decay
+from ampform_dpd.io.serialization.dynamics import (
+    formulate_breit_wigner,
+    formulate_dynamics,
+    formulate_form_factor,
+    formulate_multichannel_breit_wigner,
+    to_mandelstam_symbol,
+    to_mass_symbol,
+)
+from ampform_dpd.io.serialization.format import (
+    ModelDefinition,
+    Propagator,
+    get_decay_chains,
+    get_function_definition,
+)
+from IPython.display import JSON, Math
+from tqdm.auto import tqdm
+
+THIS_DIR = Path(".").absolute()
+logging.getLogger("ampform.sympy").setLevel(logging.ERROR)
+simplify_latex_rendering()
+```
+
+```{python}
+with open(THIS_DIR.parent.parent / "models" / "Lc2ppiK.json") as stream:
+    MODEL_DEFINITION = json.load(stream)
+```
+
+## Construct `ThreeBodyDecay`
+
+```{python}
+#| code-fold: true
+#| code-summary: Name-to-LaTeX converter
+def to_latex(name: str) -> str:
+    latex = {
+        "Lc": R"\Lambda_c^+",
+        "pi": R"\pi^+",
+        "K": "K^-",
+        "p": "p",
+    }.get(name)
+    if latex is not None:
+        return latex
+    mass_str = name[1:].strip("(").strip(")")
+    subsystem_letter = name[0]
+    subsystem = {"D": "D", "K": "K", "L": R"\Lambda"}.get(subsystem_letter)
+    if subsystem is None:
+        return name
+    return f"{subsystem}({mass_str})"
+```
+
+```{python}
+DECAY = to_decay(MODEL_DEFINITION, to_latex=to_latex)
+Math(aslatex(DECAY, with_jp=True))
+```
+
+## Dynamics
+
+::: {.callout.tip}
+See also [RUB-EP1/amplitude-serialization#22](https://github.com/RUB-EP1/amplitude-serialization/issues/22) about serialization of custom lineshapes.
+:::
+
+```{python}
+CHAIN_DEFS = get_decay_chains(MODEL_DEFINITION)
+```
+
+### Vertices
+
+#### Blatt-Weisskopf form factor
+
+```{python}
+#| code-fold: true
+z = sp.Symbol("z", nonnegative=True)
+s, m1, m2, L, d = sp.symbols("s m1 m2 L R", nonnegative=True)
+exprs = [
+    FormFactor(s, m1, m2, L, d),
+    BlattWeisskopfSquared(z, L),
+    BreakupMomentumSquared(s, m1, m2),
+]
+Math(aslatex({e: e.doit(deep=False) for e in exprs}))
+```
+
+```{python}
+ff_L1520 = formulate_form_factor(
+    vertex=CHAIN_DEFS[2]["vertices"][0],
+    model=MODEL_DEFINITION,
+)
+Math(aslatex(ff_L1520))
+```
+
+### Propagators
+
+#### Breit-Wigner
+
+```{python}
+#| code-fold: true
+x, y, z = sp.symbols("x:z")
+s, m0, Γ0, m1, m2, L, d = sp.symbols("s m0 Gamma0 m1 m2 L R", nonnegative=True)
+exprs = [
+    BreitWigner(s, m0, Γ0, m1, m2, L, d),
+    SimpleBreitWigner(s, m0, Γ0),
+    EnergyDependentWidth(s, m0, Γ0, m1, m2, L, d),
+    FormFactor(s, m1, m2, L, d),
+    P(s, m1, m2),
+    Kallen(x, y, z),
+]
+Math(aslatex({e: e.doit(deep=False) for e in exprs}))
+```
+
+```{python}
+K892_BW = formulate_breit_wigner(
+    propagator=CHAIN_DEFS[20]["propagators"][0],
+    resonance=to_latex(CHAIN_DEFS[20]["name"]),
+    model=MODEL_DEFINITION,
+)
+Math(aslatex(K892_BW))
+```
+
+#### Multi-channel Breit-Wigner
+
+```{python}
+#| code-fold: true
+x, y, z = sp.symbols("x:z")
+s, m0, Γ0, m1, m2, L, d = sp.symbols("s m0 Gamma0 m1 m2 L R", nonnegative=True)
+channels = tuple(
+    ChannelArguments(
+        s,
+        m0,
+        width=sp.Symbol(f"Gamma{i}", nonnegative=True),
+        m1=sp.Symbol(f"m_{{a,{i}}}", nonnegative=True),
+        m2=sp.Symbol(f"m_{{b,{i}}}", nonnegative=True),
+        angular_momentum=sp.Symbol(f"L{i}", integer=True, nonnegative=True),
+        meson_radius=d,
+    )
+    for i in [1, 2]
+)
+exprs = [
+    MultichannelBreitWigner(s, m0, channels),
+    BreitWigner(s, m0, Γ0, m1, m2, L, d),
+    BreitWigner(s, m0, Γ0),
+    EnergyDependentWidth(s, m0, Γ0, m1, m2, L, d),
+    FormFactor(s, m1, m2, L, d),
+    P(s, m1, m2),
+    Kallen(x, y, z),
+]
+Math(aslatex({e: e.doit(deep=False) for e in exprs}))
+```
+
+```{python}
+L1405_Flatte = formulate_multichannel_breit_wigner(
+    propagator=CHAIN_DEFS[0]["propagators"][0],
+    resonance=to_latex(CHAIN_DEFS[0]["name"]),
+    model=MODEL_DEFINITION,
+)
+Math(aslatex(L1405_Flatte))
+```
+
+#### Breit-Wigner with exponential
+
+The model contains one lineshape function that is not standard, so we have to implement a custom propagator dynamics builder for this.
+
+```{python}
+#| code-fold: true
+s, m0, Γ0, m1, m2, γ = sp.symbols("s m0 Gamma0 m1 m2 gamma", nonnegative=True)
+expr = BuggBreitWigner(s, m0, Γ0, m1, m2, γ)
+Math(aslatex({expr: expr.doit(deep=False)}))
+```
+
+```{python}
+CHAIN_DEFS[18]
+```
+
+```{python}
+get_function_definition("K700_BuggBW", MODEL_DEFINITION)
+```
+
+```{python}
+def formulate_bugg_breit_wigner(
+    propagator: Propagator, resonance: str, model: ModelDefinition
+) -> DefinedExpression:
+    function_definition = get_function_definition(propagator["parametrization"], model)
+    node = propagator["node"]
+    i, j = node
+    s = to_mandelstam_symbol(node)
+    mass = sp.Symbol(f"m_{{{resonance}}}", nonnegative=True)
+    width = sp.Symbol(Rf"\Gamma_{{{resonance}}}", nonnegative=True)
+    γ = sp.Symbol(Rf"\gamma_{{{resonance}}}", nonnegative=True)
+    m1 = to_mass_symbol(i)
+    m2 = to_mass_symbol(j)
+    final_state = get_final_state(model)
+    return DefinedExpression(
+        expression=BuggBreitWigner(s, mass, width, m1, m2, γ),
+        definitions={
+            mass: function_definition["mass"],
+            width: function_definition["width"],
+            m1: final_state[i].mass,
+            m2: final_state[j].mass,
+            γ: function_definition["slope"],
+        },
+    )
+```
+
+```{python}
+CHAIN_18 = CHAIN_DEFS[18]
+K700_BuggBW = formulate_bugg_breit_wigner(
+    propagator=CHAIN_18["propagators"][0],
+    resonance=to_latex(CHAIN_18["name"]),
+    model=MODEL_DEFINITION,
+)
+Math(aslatex(K700_BuggBW))
+```
+
+#### General propagator dynamics builder
+
+```{python}
+DYNAMICS_BUILDERS = {
+    "BreitWignerWidthExpLikeBugg": formulate_bugg_breit_wigner,
+}
+```
+
+```{python}
+#| code-fold: true
+exprs = [
+    formulate_dynamics(CHAIN_DEFS[0], MODEL_DEFINITION, to_latex, DYNAMICS_BUILDERS),
+    formulate_dynamics(CHAIN_DEFS[18], MODEL_DEFINITION, to_latex, DYNAMICS_BUILDERS),
+    formulate_dynamics(CHAIN_DEFS[20], MODEL_DEFINITION, to_latex, DYNAMICS_BUILDERS),
+]
+Math(aslatex(exprs))
+```
+
+## Construct `AmplitudeModel`
+
+### Unpolarized intensity
+
+```{python}
+λ0, λ1, λ2, λ3 = sp.symbols("lambda(:4)", rational=True)
+amplitude_expr, _ = formulate_aligned_amplitude(MODEL_DEFINITION, λ0, λ1, λ2, λ3)
+amplitude_expr.cleanup()
+```
+
+### Amplitude for the decay chain
+
+#### Helicity recouplings
+
+```{python}
+#| code-fold: true
+λa = sp.Symbol(R"\lambda_a", rational=True)
+λb = sp.Symbol(R"\lambda_b", rational=True)
+λa0 = sp.Symbol(R"\lambda_a^0", rational=True)
+λb0 = sp.Symbol(R"\lambda_b^0", rational=True)
+f = sp.Symbol("f", integer=True)
+l = sp.Symbol("l", integer=True, nonnegative=True)
+s = sp.Symbol("s", nonnegative=True, rational=True)
+ja = sp.Symbol("j_a", nonnegative=True, rational=True)
+jb = sp.Symbol("j_b", nonnegative=True, rational=True)
+j = sp.Symbol("j", nonnegative=True, rational=True)
+exprs = [
+    HelicityRecoupling(λa, λb, λa0, λb0),
+    ParityRecoupling(λa, λb, λa0, λb0, f),
+    LSRecoupling(λa, λb, l, s, ja, jb, j),
+]
+Math(aslatex({e: e.doit(deep=False) for e in exprs}))
+```
+
+#### Recoupling deserialization
+
+```{python}
+#| code-fold: true
+recouplings = [
+    formulate_recoupling(MODEL_DEFINITION, chain_idx=0, vertex_idx=i) for i in range(2)
+]
+Math(aslatex({e: e.doit(deep=False) for e in recouplings}))
+```
+
+#### Chain amplitudes
+
+```{python}
+definitions = formulate_chain_amplitude(λ0, λ1, λ2, λ3, MODEL_DEFINITION, chain_idx=0)
+Math(aslatex(definitions))
+```
+
+### Full amplitude model
+
+```{python}
+MODEL = formulate(
+    MODEL_DEFINITION,
+    additional_builders=DYNAMICS_BUILDERS,
+    cleanup_summations=True,
+    to_latex=to_latex,
+)
+MODEL.intensity
+```
+
+```{python}
+#| code-fold: true
+if "EXECUTE_NB" in os.environ:
+    selected_amplitudes = MODEL.amplitudes
+else:
+    selected_amplitudes = {
+        k: v for i, (k, v) in enumerate(MODEL.amplitudes.items()) if i < 2
+    }
+Math(aslatex(selected_amplitudes, terms_per_line=1))
+```
+
+```{python}
+#| code-fold: true
+Math(aslatex(MODEL.variables))
+```
+
+```{python}
+#| code-fold: true
+Math(aslatex({**MODEL.invariants, **MODEL.masses}))
+```
+
+## Numeric results
+
+```{python}
+intensity_expr = MODEL.full_expression.xreplace(MODEL.variables)
+intensity_expr = intensity_expr.xreplace(MODEL.parameter_defaults)
+```
 
 ```{python}
-print("Test to see if Python kernel is alive")
+#| echo: false
+free_symbols = intensity_expr.free_symbols
+assert len(free_symbols) == 3
+assert str(sorted(free_symbols, key=str)) == "[sigma1, sigma2, sigma3]"
+```
+
+```{python}
+#| code-summary: Lambdify to numeric function
+#| code-fold: true
+intensity_funcs = {}
+for s, s_expr in tqdm(MODEL.invariants.items()):
+    k = int(str(s)[-1])
+    s_expr = s_expr.xreplace(MODEL.masses).doit()
+    expr = perform_cached_doit(intensity_expr.xreplace({s: s_expr}))
+    func = perform_cached_lambdify(expr, backend="jax")
+    assert len(func.argument_order) == 2, func.argument_order
+    intensity_funcs[k] = func
+```
+
+### Validation
+
+::: {.callout-warning}
+The following serves as a numerical check on whether the amplitude model has been deserialized correctly. For now, this is not the case, see [ComPWA/ampform-dpd#133](https://github.com/ComPWA/ampform-dpd/issues/133) for updates.
+:::
+
+```{python}
+checksums = {
+    misc_key: {checksum["name"]: checksum["value"] for checksum in misc_value}
+    for misc_key, misc_value in MODEL_DEFINITION["misc"].items()
+    if "checksum" in misc_key
+}
+checksums
+```
+
+```{python}
+checksum_points = {
+    point["name"]: {par["name"]: par["value"] for par in point["parameters"]}
+    for point in MODEL_DEFINITION["parameter_points"]
+}
+checksum_points
+```
+
+```{python}
+#| code-fold: true
+array = []
+for distribution_name, checksum in checksums.items():
+    for point_name, expected in checksum.items():
+        parameters = checksum_points[point_name]
+        s1 = parameters["m_31_2"] ** 2
+        s2 = parameters["m_31"] ** 2
+        computed = intensity_funcs[3]({"sigma1": s1, "sigma2": s2})
+        status = "🟢" if computed == expected else "🔴"
+        array.append((distribution_name, point_name, computed, expected, status))
+pd.DataFrame(array, columns=["Distribution", "Point", "Computed", "Expected", "Status"])
+```
+
+::: {.callout-warning}
+See [ComPWA/ampform-dpd#133](https://github.com/ComPWA/ampform-dpd/issues/133).
+:::
+
+### Dalitz plot
+
+```{python}
+#| code-fold: true
+i, j = (2, 1)
+k, *_ = {1, 2, 3} - {i, j}
+σk, σk_expr = list(MODEL.invariants.items())[k - 1]
+Math(aslatex({σk: σk_expr}))
+```
+
+```{python}
+#| code-fold: true
+#| code-summary: Define meshgrid for Dalitz plot
+resolution = 1_000
+m = sorted(MODEL.masses, key=str)
+x_min = float(((m[j] + m[k]) ** 2).xreplace(MODEL.masses))
+x_max = float(((m[0] - m[i]) ** 2).xreplace(MODEL.masses))
+y_min = float(((m[i] + m[k]) ** 2).xreplace(MODEL.masses))
+y_max = float(((m[0] - m[j]) ** 2).xreplace(MODEL.masses))
+x_diff = x_max - x_min
+y_diff = y_max - y_min
+x_min -= 0.05 * x_diff
+x_max += 0.05 * x_diff
+y_min -= 0.05 * y_diff
+y_max += 0.05 * y_diff
+X, Y = jnp.meshgrid(
+    jnp.linspace(x_min, x_max, num=resolution),
+    jnp.linspace(y_min, y_max, num=resolution),
+)
+dalitz_data = {
+    f"sigma{i}": X,
+    f"sigma{j}": Y,
+}
+```
+
+```{python}
+#| code-summary: Prepare parametrized numerical function
+intensities = intensity_funcs[k](dalitz_data)
+```
+
+```{python}
+#| echo: false
+assert not jnp.all(jnp.isnan(intensities)), "All intensities are NaN"
+```
+
+```{python}
+#| code-fold: true
+#| code-summary: Dalitz plot is not yet correct
+#| output: false
+def get_decay_products(
+    decay: ThreeBodyDecay, subsystem_id: FinalStateID
+) -> tuple[State, State]:
+    if subsystem_id not in decay.final_state:
+        msg = f"Subsystem ID {subsystem_id} is not a valid final state ID"
+        raise ValueError(msg)
+    return tuple(s for s in decay.final_state.values() if s.index != subsystem_id)
+
+
+plt.rc("font", size=18)
+I_tot = jnp.nansum(intensities)
+normalized_intensities = intensities / I_tot
+
+fig, ax = plt.subplots(figsize=(14, 10))
+mesh = ax.pcolormesh(X, Y, normalized_intensities)
+ax.set_aspect("equal")
+c_bar = plt.colorbar(mesh, ax=ax, pad=0.01)
+c_bar.ax.set_ylabel("Normalized intensity (a.u.)")
+sigma_labels = {
+    i: Rf"$\sigma_{i} = M^2\left({' '.join(p.latex for p in get_decay_products(DECAY, i))}\right)$"
+    for i in (1, 2, 3)
+}
+ax.set_xlabel(sigma_labels[i])
+ax.set_ylabel(sigma_labels[j])
+plt.show()
 ```
diff --git a/pixi.lock b/pixi.lock
index 5284fa8..9d21d8e 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -3,288 +3,842 @@ environments:
   default:
     channels:
     - url: https://conda.anaconda.org/conda-forge/
+    indexes:
+    - https://pypi.org/simple
     packages:
       linux-64:
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+  depends:
+  - libgcc-ng >=12
+  - xorg-libx11 >=1.8.6,<2.0a0
+  - xorg-renderproto
+  license: MIT
+  license_family: MIT
+  size: 37770
+  timestamp: 1688300707994
+- kind: conda
+  name: xorg-renderproto
+  version: 0.11.1
+  build: h7f98852_1002
+  build_number: 1002
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-renderproto-0.11.1-h7f98852_1002.tar.bz2
+  sha256: 38942930f233d1898594dd9edf4b0c0786f3dbc12065a0c308634c37fd936034
+  md5: 06feff3d2634e3097ce2fe681474b534
+  depends:
+  - libgcc-ng >=9.3.0
+  license: MIT
+  license_family: MIT
+  size: 9621
+  timestamp: 1614866326326
+- kind: conda
+  name: xorg-xextproto
+  version: 7.3.0
+  build: h0b41bf4_1003
+  build_number: 1003
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-xextproto-7.3.0-h0b41bf4_1003.conda
+  sha256: b8dda3b560e8a7830fe23be1c58cc41f407b2e20ae2f3b6901eb5842ba62b743
+  md5: bce9f945da8ad2ae9b1d7165a64d0f87
+  depends:
+  - libgcc-ng >=12
+  license: MIT
+  license_family: MIT
+  size: 30270
+  timestamp: 1677036833037
+- kind: conda
+  name: xorg-xf86vidmodeproto
+  version: 2.3.1
+  build: h7f98852_1002
+  build_number: 1002
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-xf86vidmodeproto-2.3.1-h7f98852_1002.tar.bz2
+  sha256: 43398aeacad5b8753b7a1c12cb6bca36124e0c842330372635879c350c430791
+  md5: 3ceea9668625c18f19530de98b15d5b0
+  depends:
+  - libgcc-ng >=9.3.0
+  license: MIT
+  license_family: MIT
+  size: 23875
+  timestamp: 1620067286978
+- kind: conda
+  name: xorg-xproto
+  version: 7.0.31
+  build: h7f98852_1007
+  build_number: 1007
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-xproto-7.0.31-h7f98852_1007.tar.bz2
+  sha256: f197bb742a17c78234c24605ad1fe2d88b1d25f332b75d73e5ba8cf8fbc2a10d
+  md5: b4a4381d54784606820704f7b5f05a15
+  depends:
+  - libgcc-ng >=9.3.0
+  license: MIT
+  license_family: MIT
+  size: 74922
+  timestamp: 1607291557628
 - kind: conda
   name: xz
   version: 5.2.6
@@ -2987,60 +9980,80 @@ packages:
   license_family: MIT
   size: 89141
   timestamp: 1641346969816
+- kind: conda
+  name: yapf
+  version: 0.40.1
+  build: pyhd8ed1ab_0
+  subdir: noarch
+  noarch: python
+  url: https://conda.anaconda.org/conda-forge/noarch/yapf-0.40.1-pyhd8ed1ab_0.conda
+  sha256: b227bb911a88e08d985aa09a636d0b23f273eb85fe47b6be8a47c86e6bd52c31
+  md5: f269942e802d5e148632143d4c37acc9
+  depends:
+  - importlib-metadata >=6.6.0
+  - platformdirs >=3.5.1
+  - python >=3.7
+  - tomli >=2.0.1
+  license: Apache-2.0
+  license_family: APACHE
+  purls:
+  - pkg:pypi/yapf
+  size: 176345
+  timestamp: 1690388073748
 - kind: conda
   name: zeromq
   version: 4.3.5
-  build: h5119023_3
-  build_number: 3
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/zeromq-4.3.5-h5119023_3.conda
-  sha256: 5eb581b4191767645b973c8fab29a167da366e3f0f218198a4cdb264e902b681
-  md5: bbd1b56c80c0b21506bbfa7bdd1c9169
+  build: h75354e8_4
+  build_number: 4
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-h75354e8_4.conda
+  sha256: bc9aaee39e7be107d7daff237435dfd8f791aca460a98583a36a263615205262
+  md5: 03cc8d9838ad9dd0060ab532e81ccb21
   depends:
-  - __osx >=11.0
   - krb5 >=1.21.2,<1.22.0a0
-  - libcxx >=16
+  - libgcc-ng >=12
   - libsodium >=1.0.18,<1.0.19.0a0
+  - libstdcxx-ng >=12
   license: MPL-2.0
   license_family: MOZILLA
-  size: 294273
-  timestamp: 1714545428846
+  size: 353229
+  timestamp: 1715607188837
 - kind: conda
   name: zeromq
   version: 4.3.5
-  build: h75354e8_3
-  build_number: 3
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-h75354e8_3.conda
-  sha256: c2f2db5d19b603546db025b47fb71765f8dda0a0fe8feb42bd4e6a46194a5590
-  md5: 1b0ea5d6674e4e7dde0537c890813edb
+  build: hcc0f68c_4
+  build_number: 4
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/zeromq-4.3.5-hcc0f68c_4.conda
+  sha256: c22520d6d66a80f17c5f2b3719ad4a6ee809b210b8ac87d6f05ab98b94b3abda
+  md5: 39fb79e7a7a880a03f82c1f2eb7f7c73
   depends:
+  - __osx >=11.0
   - krb5 >=1.21.2,<1.22.0a0
-  - libgcc-ng >=12
+  - libcxx >=16
   - libsodium >=1.0.18,<1.0.19.0a0
-  - libstdcxx-ng >=12
   license: MPL-2.0
   license_family: MOZILLA
-  size: 351803
-  timestamp: 1714545110790
+  size: 298555
+  timestamp: 1715607628741
 - kind: conda
   name: zeromq
   version: 4.3.5
-  build: h8d87b8b_3
-  build_number: 3
+  build: hde137ed_4
+  build_number: 4
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/zeromq-4.3.5-h8d87b8b_3.conda
-  sha256: 2e367db3e568d285c217a8df6b42fe868d70dade9eccf30e5c9192931fc7752b
-  md5: 56ddf659a2f41a33a71c89813d871ff8
+  url: https://conda.anaconda.org/conda-forge/osx-64/zeromq-4.3.5-hde137ed_4.conda
+  sha256: 871625ce993e6c61649b14659a3d1d6011fbb242b7d6a25cadbc6300b2356f32
+  md5: e56609055da6c658aa329d42a6c6b9f2
   depends:
-  - __osx >=10.9
+  - __osx >=10.13
   - krb5 >=1.21.2,<1.22.0a0
   - libcxx >=16
   - libsodium >=1.0.18,<1.0.19.0a0
   license: MPL-2.0
   license_family: MOZILLA
-  size: 301306
-  timestamp: 1714545592193
+  size: 304498
+  timestamp: 1715607961981
 - kind: conda
   name: zipp
   version: 3.17.0
@@ -3054,5 +10067,69 @@ packages:
   - python >=3.8
   license: MIT
   license_family: MIT
+  purls:
+  - pkg:pypi/zipp
   size: 18954
   timestamp: 1695255262261
+- kind: conda
+  name: zlib
+  version: 1.2.13
+  build: hd590300_5
+  build_number: 5
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.2.13-hd590300_5.conda
+  sha256: 9887a04d7e7cb14bd2b52fa01858f05a6d7f002c890f618d9fcd864adbfecb1b
+  md5: 68c34ec6149623be41a1933ab996a209
+  depends:
+  - libgcc-ng >=12
+  - libzlib 1.2.13 hd590300_5
+  license: Zlib
+  license_family: Other
+  size: 92825
+  timestamp: 1686575231103
+- kind: conda
+  name: zstd
+  version: 1.5.6
+  build: h915ae27_0
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/zstd-1.5.6-h915ae27_0.conda
+  sha256: efa04a98cb149643fa54c4dad5a0179e36a5fbc88427ea0eec88ceed87fd0f96
+  md5: 4cb2cd56f039b129bb0e491c1164167e
+  depends:
+  - __osx >=10.9
+  - libzlib >=1.2.13,<1.3.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 498900
+  timestamp: 1714723303098
+- kind: conda
+  name: zstd
+  version: 1.5.6
+  build: ha6fb4c9_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda
+  sha256: c558b9cc01d9c1444031bd1ce4b9cff86f9085765f17627a6cd85fc623c8a02b
+  md5: 4d056880988120e29d75bfff282e0f45
+  depends:
+  - libgcc-ng >=12
+  - libstdcxx-ng >=12
+  - libzlib >=1.2.13,<1.3.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 554846
+  timestamp: 1714722996770
+- kind: conda
+  name: zstd
+  version: 1.5.6
+  build: hb46c0d2_0
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.6-hb46c0d2_0.conda
+  sha256: 2d4fd1ff7ee79cd954ca8e81abf11d9d49954dd1fef80f27289e2402ae9c2e09
+  md5: d96942c06c3e84bfcc5efb038724a7fd
+  depends:
+  - __osx >=11.0
+  - libzlib >=1.2.13,<1.3.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 405089
+  timestamp: 1714723101397
diff --git a/pixi.toml b/pixi.toml
index 26e45be..7404189 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -19,24 +19,42 @@ platforms = [
 repository = "https://github.com/RUB-EP1/amplitude-serialization"
 
 [dependencies]
+black = ">=24.4.2,<24.5"
 ipykernel = "*"
+ipywidgets = ">=8.1.2,<8.2"
+isort = ">=5.13.2,<5.14"
 juliaup = "*"
 jupyter-cache = "*"
+jupyterlab = ">=4.2.1,<4.3"
+jupyterlab-git = ">=0.50.0,<0.51"
+jupyterlab-lsp = ">=5.1.0,<5.2"
+jupyterlab_code_formatter = ">=2.2.1,<2.3"
+matplotlib = ">=3.8.4,<3.9"
 nbclient = "*"
 nbformat = "*"
+pandas = ">=2.2.2,<2.3"
 pre-commit = "*"
 python = ">=3.8.0"
+python-lsp-ruff = ">=2.2.0,<2.3"
+python-lsp-server = ">=1.11.0,<1.12"
 quarto = "*"
+rope = ">=1.13.0,<1.14"
+ruff = ">=0.4.5,<0.5"
+
+[pypi-dependencies]
+ampform-dpd = {version = "==0.2.1rc0"}
 
 [tasks.doc]
 cmd = "quarto render"
 cwd = "docs"
 depends_on = ["install-julia"]
+env = {PYTHONHASHSEED = "0"}
 
 [tasks.doclive]
 cmd = "quarto preview"
 cwd = "docs"
 depends_on = ["install-julia"]
+env = {PYTHONHASHSEED = "0"}
 
 [tasks.install-julia]
 cmd = """