Update supported python version range

.github/workflows/pr.yml

@@ -22,7 +22,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ["3.10", "3.11", "3.12"]
+        python-version: ["3.11", "3.12", "3.13"]
     steps:
       - uses: actions/checkout@v3
       - uses: actions/setup-python@v4

README.md

@@ -149,9 +149,9 @@ for representation learning on [arXiv](https://arxiv.org/abs/2410.11281).
 1. We recommend using a new Conda/virtual environment.
 
     ```sh
-    conda create --name viscy python=3.10
+    conda create --name viscy python=3.11
     # OR specify a custom path since the dependencies are large:
-    # conda create --prefix /path/to/conda/envs/viscy python=3.10
+    # conda create --prefix /path/to/conda/envs/viscy python=3.11
     ```
 
 2. Install a released version of VisCy from PyPI:

examples/virtual_staining/dlmbl_exercise/setup.sh

@@ -4,7 +4,7 @@ START_DIR=$(pwd)
 
 conda deactivate
 # Create conda environment
-conda create -y --name 06_image_translation python=3.10
+conda create -y --name 06_image_translation python=3.11
 
 # Install ipykernel in the environment.
 conda install -y ipykernel nbformat nbconvert black jupytext ipywidgets --name 06_image_translation

examples/virtual_staining/img2img_translation/setup.sh

@@ -4,7 +4,7 @@ START_DIR=$(pwd)
 
 conda deactivate
 # Create conda environment
-conda create -y --name image2image python=3.10
+conda create -y --name image2image python=3.11
 
 # Install ipykernel in the environment.
 conda install -y ipykernel nbformat nbconvert black jupytext ipywidgets --name img2img

examples/virtual_staining/phase_contrast/setup.sh

@@ -4,7 +4,7 @@ START_DIR=$(pwd)
 
 conda deactivate
 # Create conda environment
-conda create -y --name vs_Phc python=3.10
+conda create -y --name vs_Phc python=3.11
 
 # Install ipykernel in the environment.
 conda install -y ipykernel nbformat nbconvert black jupytext ipywidgets --name vs_Phc

pyproject.toml

@@ -6,13 +6,13 @@ build-backend = "setuptools.build_meta"
 name = "viscy"
 description = "computer vision for image-based phenotyping of single cells"
 readme = "README.md"
-requires-python = ">=3.10"
+requires-python = ">=3.11"
 license = { file = "LICENSE" }
 authors = [{ name = "CZ Biohub SF", email = "[email protected]" }]
 classifiers = [
-    "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
     "License :: OSI Approved :: BSD License",
 ]
 dependencies = [