Describe the Linux cache-clearing example accurately

README.md

@@ -56,8 +56,8 @@ hyperfine --warmup 3 'grep -R TODO *'
 ```
 
 Conversely, if you want to run the benchmark for a cold cache, you can use the `-p`/`--prepare`
-option to run a special command before *each* timing run. For example, to clear harddisk caches
-on Linux, you can run
+option to run a special command before *each* timing run. For example, to clear Linux filesystem caches,
+you can run
 ```sh
 sync; echo 3 | sudo tee /proc/sys/vm/drop_caches
 ```

scripts/README.md

@@ -4,14 +4,23 @@ This folder contains scripts that can be used in combination with hyperfines `--
 
 ```bash
 hyperfine 'sleep 0.020' 'sleep 0.021' 'sleep 0.022' --export-json sleep.json
-uv run plot_whisker.py sleep.json
+./plot_whisker.py sleep.json
 ```
 
 ### Pre-requisites
 
-Install [`uv`](https://docs.astral.sh/uv/getting-started/installation/) and run the
-commands above from this directory.
+To make these scripts work, you will need `numpy`, `matplotlib` and `scipy`.
 
-The scripts declare their dependencies using [PEP 723](https://peps.python.org/pep-0723/)
-inline script metadata. `uv run` automatically installs these dependencies in an
-isolated environment before running the script.
+If you have a Python package manager that understands [PEP-723](https://peps.python.org/pep-0723/)
+inline script requirements like [`uv`](https://github.com/astral-sh/uv) or [`pipx`](https://github.com/pypa/pipx),
+you can directly run the scripts using
+
+```bash
+uv run plot_whisker.py sleep.json
+```
+
+Otherwise, install the dependencies via your system package manager or using `pip`:
+
+```bash
+pip install numpy matplotlib scipy  # pip3, if you are using python3
+```