couple of small readme details

README.md

@@ -10,18 +10,20 @@ Welcome to Superhog's DWH dbt project. Here we model the entire DWH.
   - You need a Linux environment. That can be Linux, macOS or WSL.
   - You need to have Python `>=3.10` installed.
   - All docs will assume you are using VSCode.
+  - Also install the following VSCode Python extension: ms-python.python
 - Prepare networking
   - You must be able to reach the DWH server through the network. There are several ways to do this.
   - The current recommended route is to use the data VPN. You can ask Pablo to help you set it up.
 - Set up
   - Create a virtual environment for the project with `python3 -m venv venv`.
+  - It's recommended that you set up the new `venv` as your default interpreter for VSCode. To do this, click Ctrl+Shift+P, and look for the `Python: Select interpreter` option. Choose the new `venv`.
   - Activate the virtual environment and run `pip install -r requirements.txt`
   - Create an entry for this project `profiles.yml` file at `~/.dbt/profiles.yml`. You have a suggested template at `profiles.yml.example`
   - Make sure that the `profiles.yml` host and port settings are consistent with whatever networking approach you've taken.
   - Run `chmod 600 ~/.dbt/profiles.yml` to secure your profiles file.
   - Run `dbt deps` to install dbt dependencies
 - Check
-  - Ensure you are running in the project venv, either by setting VSCode Python interpreter to the one created by `poetry`, or by running `poetry shell` in the console when in the root dir.
+  - Ensure you are running in the project venv.
   - Run `dbt debug`. If it runs well, you are all set. If it fails, there's something wrong with your set up. Grab the terminal output and pull the thread.
 - Complements
   - If you are in VSCode, you most probably want to have this extension installed: [dbt Power User](https://marketplace.visualstudio.com/items?itemName=innoverio.vscode-dbt-power-user)