slides update

.github/workflows/pypi.yml

@@ -34,7 +34,7 @@ jobs:
       fail-fast: false
       matrix:
         os: ["ubuntu-latest", "windows-latest", "macos-latest"]
-        python-version: ["3.9", "3.13"]
+        python-version: ["3.8", "3.13"]
     steps:
       - uses: actions/checkout@v4
       # install the calculate-liam package including the optional test dependencies

calculate-liam/meta.yaml

@@ -1,5 +1,5 @@
 {% set name = "calculate-liam" %}
-{% set version = "0.0.3" %}
+{% set version = "0.0.8" %}
 
 package:
   name: {{ name|lower }}

calculate-liam/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "calculate-liam"
-version = "0.0.7"
+version = "0.0.8"
 dependencies = ["click", "numpy"]
 authors = [
   { name="Liam Keegan", email="liam@keegan.ch" },

docs/index.md

@@ -23,6 +23,7 @@ In this course we will learn how to package a Python library, how to publish it
 - [pybind11-numpy-example](https://github.com/ssciwr/pybind11-numpy-example)
   - a simple example of packaging including c++ compiled extensions
   - an example [meta.yaml](https://github.com/conda-forge/staged-recipes/pull/25040/files) conda-forge recipe for this package
+  - the resulting [conda-forge feedstock](https://github.com/conda-forge/pybind11-numpy-example-feedstock) for this package
 - [hammingdist](https://github.com/ssciwr/hammingdist)
   - a more advanced example with a compiled extension making use of OpenMP and CUDA