Updated readme for June 2022.

Author: jtkiley

readme.markdown

@@ -67,7 +67,7 @@ If you encounter issues, get as far as you can, and we will work through them in
 
 1. On the right (on Github), click "Releases".
 1. Find the release for your course (usually at the top), and click the link for "Source code (zip)" under the "Assets" heading to download a zip archive of the course materials. **Note:** this is also where the slides are located (usually uploaded the day before the course begins).
-1. Expand the zip archive, which will produce a folder (e.g., `carma_python-1.3.0`) with the course materials inside.
+1. Expand the zip archive, which will produce a folder (e.g., `carma_python-1.4.0`) with the course materials inside.
 1. Move this folder somewhere easy to find (e.g., your desktop) while the course is ongoing.
 
 
@@ -112,7 +112,7 @@ You can run the notebook that we will use in the first session as a test of whet
 1. The notebook should run quickly, and you should not see errors. Note: the single most common issue with any import errors at the top is that you have not selected the environment in step 3 above. You need to do that before launching Jupyter Lab, and a subsequent change will not affect the already--running Jupyter Lab.
 
 
-### (optional) Install VS Code
+### (optional, but recommended) Install VS Code
 
 I will generally do walkthroughs using VS Code for notebooks instead of the Jupyter Lab interface.
 VS Code is an open-source programming text editor platform, developed principally by Microsoft, that works with many languages (including Python and R), and it has nice built-in Jupyter Notebook support.