Update for Python 3.14

episodes/optimisation-use-latest.md

@@ -41,7 +41,7 @@ Performance regressions within major packages should be considered rare, they of
 ## Support for older Python versions in the Scientific Python ecosystem
 
 In the last few years, many important packages in the Scientific Python ecosystem have agreed [a common policy](https://scientific-python.org/specs/spec-0000/) to support previous versions of Python for 3 years.
-For example, since October 2024, these packages stopped supporting Python 3.10; so if you are still using Python 3.10 (or even older versions), you’re now losing access to new features and performance improvements in NumPy, SciPy, Matplotlib and many other libraries. Time to update!
+For example, since October 2025, these packages stopped supporting Python 3.11; so if you are still using Python 3.11 (or even older versions), you’re now losing access to new features and performance improvements in NumPy, SciPy, Matplotlib and many other libraries. Time to update!
 
 :::::::::::::::::::::::::::::::::::::
 

learners/setup.md

@@ -18,14 +18,14 @@ Download the [data zip file](https://example.com/FIXME) and unzip it to your Des
 
 ### Details
 
-This course was originally developed using Python 3.11 and last tested with Python 3.13. We recommend that you have a Python 3.13 environment.
+This course was originally developed using Python 3.11 and last tested with Python 3.14. We recommend that you have a Python 3.14 environment.
 
 You may want to create a new Python virtual environment for the course, this can be done with your preferred Python environment manager (e.g. `conda`, `pipenv`), the required packages can all be installed via `pip`.
 
 If you have `conda` available, you can create and activate a new environment using the following command:
 
 ```sh
-conda create --name prof_opt python=3.13
+conda create --name prof_opt python=3.14
 conda activate prof_opt
 ```