Update setup instructions

learners/setup.md

@@ -2,40 +2,78 @@
 title: Setup
 ---
 
-Setup instructions live in this document. Please specify the tools and the data
-sets the Learner needs to have installed.
+This is an intermediate level Python course.
+We expect familiarity with the command-line, and that you are comfortable
+working with a coding text editor (like for instance,
+[VS Code](https://code.visualstudio.com/)).
 
-## Data Sets
+### Data Sets
 
-Clone the repository at [esciencecenter-digital-skills/parallel-python-workshop](https://github.com/esciencecenter-digital-skills/parallel-python-workshop). Follow software setup instructions there to setup the environment, and run the unit tests to see if your setup is working.
+The course uses the following data sets:
 
-## Software Setup
+- New York taxi data ([description](https://www.nyc.gov/site/tlc/about/tlc-trip-record-data.page)).
+
+The instructions below include downloading the data.
+
+
+## Software and Data Setup
+
+Clone the repository at [esciencecenter-digital-skills/parallel-python-workshop](https://github.com/esciencecenter-digital-skills/parallel-python-workshop).
+
+Follow software setup instructions there to set up the environment, download the data,
+and run the unit tests to see if your setup is working.
 
 ::::::::::::::::::::::::::::::::::::::: discussion
 
 ### Details
-This is an intermediate level Python course. We expect familiarity with the command-line, and that you are comfortable working with a coding text editor (like for instance, [VS Code](https://code.visualstudio.com/)). We provide two choices for working environment: **conda** or **poetry**. If you are on **Windows** the prefered method is **conda**. On Linux or MacOS you should be fine with either.
+We provide two choices for working environment: **uv** or **conda**.
+If you are on **Windows** the preferred method is **conda**. On Linux or
+MacOS you should be fine with either.
 
 :::::::::::::::::::::::::::::::::::::::::::::::::::
 
 :::solution
-### Conda
-From within the cloned repository root directory, run the following commands to create a conda environment from the environment.yml file and activate it
+### UV
+
+UV is our recommended tool to manage the Python environment.
+Please follow the [UV install instructions](https://docs.astral.sh/uv/#installation)
+if you haven't already. Then, running from the directory where you cloned this
+repository, run the following command:
+
 ```bash
-$ conda env create -f environment.yml --prefix ./env
-$ conda activate ./env
+uv sync
 ```
 
-Next, run pytest and see if it completes all tests without errors.
+Then, download the New York taxi dataset:
+```
+uv run ny-taxi/download.py
+```
 
-```bash
-$ pytest
+Finally, run `pytest` and see if it completes all tests without errors.
+```
+uv run pytest
 ```
 
 :::
 
 :::solution
-### Poetry
+### Conda
+From within the cloned repository root directory, run the following commands to create a `conda` environment from the environment.yml file and activate it
+```bash
+$ conda env create -f environment.yml
+$ conda activate parallel-python
+```
+
+Now, download the New York taxi data set:
+```bash
+$ python ny-taxi/download.py
+```
+
+Finally, run `pytest` and see if it completes all tests without errors.
+
+```bash
+$ pytest
+```
 
 :::