Fix heatmap plotting bug (#470)

* Fix heatmap plotting bug

I ran into an odd bug while prepping to teach this workshop last week. With the current workshop environment running on Windows 10, I ran into this issue: https://stackoverflow.com/questions/77165100/only-the-first-row-of-annotations-displayed-on-seaborn-heatmap

Updating both matplotlib and seaborn seemed to resolve the issue:
`pip install seaborn --upgrade`
`pip install matplotlib --upgrade`

I propose we add these pip statements to the setup instructions.

* Update learners/setup.md

Co-authored-by: Sven van der Burg <[email protected]>

* Update learners/setup.md

---------

Co-authored-by: Sven van der Burg <[email protected]>

learners/setup.md

@@ -83,29 +83,26 @@ If you run into any difficulties, please request help before the workshop begins
 
 [Conda](https://docs.conda.io/projects/conda/en/latest/) is the package management system associated with [Anaconda](https://anaconda.org) and runs on Windows, macOS and Linux.
 Conda should already be available in your system once you installed Anaconda successfully. Conda thus works regardless of the operating system.
-Make sure you have an up-to-date version of Conda running.
+
+1. Make sure you have an up-to-date version of Conda running.
 See [these instructions](https://docs.anaconda.com/anaconda/install/update-version/) for updating Conda if required.
 {: .callout}
 
-To create a conda environment called `dl_workshop` with the required packages, open a terminal (Mac/Linux) or Anaconda prompt (Windows) and type the command:
+2. To create a conda environment called `dl_workshop` with the required packages, open a terminal (Mac/Linux) or Anaconda prompt (Windows) and type the command:
 ```bash
-conda create --name dl_workshop python jupyter seaborn scikit-learn pandas
+conda create --name dl_workshop python jupyter 'seaborn>=13.0.0' scikit-learn pandas
 ```
 
-Activate the newly created environment:
+3. Activate the newly created environment:
 ```
 conda activate dl_workshop
 ```
 
-Install tensorflow using pip (python's package manager):
+4. After activating your environment, install tensorflow using pip (python's package manager):
 ```bash
 pip install tensorflow
 ```
-
-Note that modern versions of Tensorflow make Keras available as a module.
-
-[pip](https://pip.pypa.io/en/stable/) is the package management system for Python software packages.
-It is integrated into your local Python installation and runs regardless of your operating system too.
+Note that modern versions of Tensorflow make Keras available as a module. [pip](https://pip.pypa.io/en/stable/) is the package management system for Python software packages. It is integrated into your local Python installation and runs regardless of your operating system too.
 
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