Merge pull request #2 from DataLab-Platform/chore/drop-python39

chore: require Python 3.10 or newer

Author: PierreRaybaut

.github/workflows/test.yml

@@ -20,7 +20,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.9", "3.13"]
+        python-version: ["3.10", "3.13", "3.14"]
 
     steps:
     - uses: actions/checkout@v7

README.md

@@ -185,6 +185,7 @@ DataLab-Kernel uses **xeus-python** as its backend, which provides:
 
 The kernel requires:
 
+- Python 3.10 or later
 - `xeus-python>=0.17.0` - The xeus-based Python kernel
 - `xeus-python-shell>=0.6.0` - Python shell utilities for xeus-python
 - `sigima>=1.0` - Scientific signal and image processing

datalab_kernel/kernel.py

@@ -17,6 +17,8 @@
 
 from __future__ import annotations
 
+import sys
+
 from datalab_kernel import __version__
 
 # Kernel metadata (used by kernel spec and for identification)
@@ -25,11 +27,11 @@
 KERNEL_IMPLEMENTATION = "datalab-kernel"
 KERNEL_IMPLEMENTATION_VERSION = __version__
 KERNEL_LANGUAGE = "python"
-KERNEL_LANGUAGE_VERSION = "3.9"
+KERNEL_LANGUAGE_VERSION = f"{sys.version_info.major}.{sys.version_info.minor}"
 
 KERNEL_LANGUAGE_INFO = {
     "name": "python",
-    "version": "3.9",
+    "version": KERNEL_LANGUAGE_VERSION,
     "mimetype": "text/x-python",
     "codemirror_mode": {"name": "ipython", "version": 3},
     "pygments_lexer": "ipython3",
@@ -79,8 +81,6 @@ def launch_kernel():
 
     It launches xeus-python with the DataLab startup configuration.
     """
-    import sys
-
     # Import and launch xeus-python
     try:
         # xeus-python provides an extension module for launching

datalab_kernel/matplotlib_backend.py

@@ -157,7 +157,7 @@ def _add_table_results_to_axes(
 
         # Format each row (typically just one row for statistics)
         for row in data:
-            for header, value in zip(headers, row):
+            for header, value in zip(headers, row, strict=False):
                 # Format numeric values
                 if isinstance(value, float):
                     if abs(value) < 0.001 or abs(value) >= 10000:
@@ -184,7 +184,7 @@ def _add_table_results_to_axes(
                 coords = (
                     geometry.coords[0] if geometry.coords.ndim > 1 else geometry.coords
                 )
-                for label, value in zip(coord_labels, coords):
+                for label, value in zip(coord_labels, coords, strict=False):
                     if isinstance(value, float):
                         if abs(value) < 0.001 or abs(value) >= 10000:
                             formatted = f"{value:.3g}"
@@ -1187,7 +1187,7 @@ def _render_to_png(self) -> bytes:
         all_geo_results: list = []
 
         for idx, (ax, img, img_title, result) in enumerate(
-            zip(axes_flat, self._objs, titles, results_list)
+            zip(axes_flat, self._objs, titles, results_list, strict=False)
         ):
             obj_type = type(img).__name__
 

datalab_kernel/plotly_backend.py

@@ -244,7 +244,7 @@ def _build_annotation_text(
         lines.append(f"<b>{table.title}:</b>")
         headers = list(table.headers)
         for row in table.data:
-            for header, value in zip(headers, row):
+            for header, value in zip(headers, row, strict=False):
                 if isinstance(value, float):
                     formatted = (
                         f"{value:.3g}"
@@ -264,7 +264,7 @@ def _build_annotation_text(
                 coords = (
                     geometry.coords[0] if geometry.coords.ndim > 1 else geometry.coords
                 )
-                for lbl, val in zip(coord_labels, coords):
+                for lbl, val in zip(coord_labels, coords, strict=False):
                     if isinstance(val, float):
                         formatted = (
                             f"{val:.3g}"
@@ -474,7 +474,11 @@ def _add_image_roi_shapes(
             # Close the polygon
             xs = list(points[:, 0]) + [points[0, 0]]
             ys = list(points[:, 1]) + [points[0, 1]]
-            path = "M " + " L ".join(f"{x},{y}" for x, y in zip(xs, ys)) + " Z"
+            path = (
+                "M "
+                + " L ".join(f"{x},{y}" for x, y in zip(xs, ys, strict=False))
+                + " Z"
+            )
             fig.add_shape(
                 type="path",
                 path=path,
@@ -1014,7 +1018,7 @@ def _build_signal_figure(self) -> go.Figure:
             # Build interleaved arrays: (x, baseline) -> (x, y) -> None gap
             xs: list = []
             ys: list = []
-            for xi, yi in zip(x, y):
+            for xi, yi in zip(x, y, strict=False):
                 xs.extend([xi, xi, None])
                 ys.extend([baseline, yi, None])
             fig.add_trace(
@@ -1431,7 +1435,7 @@ def _build_figure(self) -> go.Figure:
                             baseline = float(obj.get_metadata_option("baseline"))
                     xs: list = []
                     ys: list = []
-                    for xi, yi in zip(x, y):
+                    for xi, yi in zip(x, y, strict=False):
                         xs.extend([xi, xi, None])
                         ys.extend([baseline, yi, None])
                     fig.add_trace(
@@ -1770,7 +1774,9 @@ def _build_figure(self) -> go.Figure:
         all_tbl_results: list = []
         all_geo_results: list = []
 
-        for idx, (img, result) in enumerate(zip(self._objs, results_list)):
+        for idx, (img, result) in enumerate(
+            zip(self._objs, results_list, strict=False)
+        ):
             row = idx // ncols + 1
             col = idx % ncols + 1
 

datalab_kernel/tests/unit/test_kernel.py

@@ -12,6 +12,7 @@
 from __future__ import annotations
 
 import json
+import sys
 
 import pytest
 
@@ -76,13 +77,17 @@ def test_kernel_metadata_exists(self):
             KERNEL_IMPLEMENTATION,
             KERNEL_LANGUAGE,
             KERNEL_LANGUAGE_INFO,
+            KERNEL_LANGUAGE_VERSION,
         )
 
         assert KERNEL_IMPLEMENTATION == "datalab-kernel"
         assert KERNEL_LANGUAGE == "python"
         assert KERNEL_DISPLAY_NAME == "DataLab"
         assert "xeus-python" in KERNEL_BANNER
         assert isinstance(KERNEL_LANGUAGE_INFO, dict)
+        expected_version = f"{sys.version_info.major}.{sys.version_info.minor}"
+        assert expected_version == KERNEL_LANGUAGE_VERSION
+        assert KERNEL_LANGUAGE_INFO["version"] == KERNEL_LANGUAGE_VERSION
         assert isinstance(KERNEL_HELP_LINKS, list)
 
     def test_get_kernel_info_function(self):
@@ -99,6 +104,9 @@ def test_get_kernel_info_function(self):
         assert "help_links" in info
 
         assert info["implementation"] == "datalab-kernel"
+        assert info["language_info"]["version"] == (
+            f"{sys.version_info.major}.{sys.version_info.minor}"
+        )
 
 
 class TestStartupModule:

doc/release_notes/release_0.02.md

@@ -1,5 +1,10 @@
 # Version 0.2 #
 
+## Unreleased ##
+
+* Python 3.10 or later is now required. Python 3.9 users must keep an earlier compatible release.
+* Kernel language information now reports the Python version actually running the kernel, rather than always announcing Python 3.9.
+
 ## DataLab-Kernel Version 0.2.11 (2026-02-15) ##
 
 ### 🛠️ Bug Fixes since version 0.2.10 ###

doc/requirements.rst

@@ -1,4 +1,4 @@
-The ``datalab-kernel`` package requires the following Python modules:
+The `datalab-kernel` package requires the following Python modules:
 
 .. list-table::
     :header-rows: 1
@@ -8,28 +8,31 @@ The ``datalab-kernel`` package requires the following Python modules:
       - Version
       - Summary
     * - Python
-      - >=3.9
+      - >=3.10
       - Python programming language
-    * - ipykernel
-      - >= 6.0
-      - IPython Kernel for Jupyter
-    * - jupyter-client
-      - >= 7.0
-      - Jupyter protocol client APIs
-    * - NumPy
-      - >= 1.22
+    * - xeus-python
+      - >=0.17.0
+      - A wheel for xeus-python
+    * - xeus-python-shell
+      - >=0.6.0
+      - The xeus-python core python logic.
+    * - numpy
+      - >=1.22
       - Fundamental package for array computing in Python
+    * - httpx
+      - >=0.25.0
+      - The next generation HTTP client.
     * - h5py
-      - >= 3.0
+      - >=3.0
       - Read and write HDF5 files from Python
     * - matplotlib
-      - >= 3.5
+      - >=3.5
       - Python plotting package
-    * - Sigima
-      - >= 1.0
-      - Scientific signal and image processing library
+    * - sigima
+      - >=1.0
+      - Scientific computing engine for 1D signals and 2D images, part of the DataLab open-source platform.
 
-Optional modules for DataLab integration:
+Optional modules for development:
 
 .. list-table::
     :header-rows: 1
@@ -38,11 +41,17 @@ Optional modules for DataLab integration:
     * - Name
       - Version
       - Summary
-    * - datalab-platform
-      - >= 1.0
-      - DataLab - Scientific Data Analysis Platform
+    * - pytest
+      - >=7.0
+      - pytest: simple powerful testing with Python
+    * - pytest-cov
+      - >=4.0
+      - Pytest plugin for measuring coverage.
+    * - ruff
+      - >=0.1.0
+      - An extremely fast Python linter and code formatter, written in Rust.
 
-Development dependencies:
+Optional modules for building the documentation:
 
 .. list-table::
     :header-rows: 1
@@ -51,12 +60,18 @@ Development dependencies:
     * - Name
       - Version
       - Summary
-    * - pytest
-      - >= 7.0
-      - Python testing framework
-    * - pytest-cov
-      - >= 4.0
-      - Pytest coverage plugin
-    * - ruff
-      - >= 0.1.0
-      - Fast Python linter and formatter
+    * - sphinx
+      - >=7.0
+      - Python documentation generator
+    * - pydata-sphinx-theme
+      - >=0.14
+      - Bootstrap-based Sphinx theme from the PyData community
+    * - myst-nb
+      - >=1.0
+      - A Jupyter Notebook Sphinx reader built on top of the MyST markdown parser.
+    * - sphinx-design
+      - >=0.5
+      - A sphinx extension for designing beautiful, view size responsive web components.
+    * - sphinx-copybutton
+      - >=0.5
+      - Add a copy button to each of your code cells.

pyproject.toml

@@ -17,7 +17,6 @@ classifiers = [
     "License :: OSI Approved :: BSD License",
     "Operating System :: OS Independent",
     "Programming Language :: Python :: 3",
-    "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
@@ -26,7 +25,7 @@ classifiers = [
     "Topic :: Scientific/Engineering",
 ]
 keywords = ["jupyter", "kernel", "datalab", "scientific", "data processing", "xeus"]
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 dependencies = [
     "xeus-python>=0.17.0",
     "xeus-python-shell>=0.6.0",
@@ -90,7 +89,7 @@ markers = [
 
 [tool.ruff]
 line-length = 88
-target-version = "py39"
+target-version = "py310"
 
 [tool.ruff.lint]
 select = ["E", "F", "W", "I", "UP", "B", "C4", "SIM"]

requirements.txt

@@ -1,7 +1,18 @@
-xeus-python>=0.17.0
-xeus-python-shell>=0.6.0
-numpy>=1.22
-httpx>=0.25.0
+datalab-platform>=1.1
 h5py>=3.0
+httpx>=0.25.0
+jupyter-client>=7.0
 matplotlib>=3.5
+myst-nb>=1.0
+numpy>=1.22
+plotly>=5.0
+pydata-sphinx-theme>=0.14
+pytest-cov>=4.0
+pytest>=7.0
+ruff>=0.1.0
 sigima>=1.0
+sphinx-copybutton>=0.5
+sphinx-design>=0.5
+sphinx>=7.0
+xeus-python-shell>=0.6.0
+xeus-python>=0.17.0