material update

Author: hfhoffman1144

python-polars/README.md

@@ -1,3 +1,17 @@
-# Pandas-Groupby
+# Python Polars: A Lightning-Fast DataFrame Library
 
-Supporting code for the article [Python Polars: A Lightening-Fast DataFrame Library](https://realpython.com/polars-python-lightening-fast-dataframe-library/).
+Supporting code for the article [Python Polars: A Lightning-Fast DataFrame Library](https://realpython.com/polars-python-lightening-fast-dataframe-library/). 
+
+To run the code in this tutorial, you should have `polars`, `pandas`, `numpy`, `requests`, and `matplotlib` installed in your environment. 
+
+If you want to install Polars with all of the library's optional dependencies, you can run:
+
+```console
+$ python -m pip install "polars[all]" requests matplotlib
+```
+
+Otherwise, you will at least need to include the `pandas` and `numpy` feature flags:
+
+```console
+$ python -m pip install "polars[numpy, pandas]" requests matplotlib
+```

python-polars/downloads.py

@@ -1,9 +1,9 @@
-import requests
 import pathlib
+import requests
 
 
 def download_file(file_url: str, local_file_path: pathlib.Path) -> None:
-    "Download a file from the URL and save it with the specified file name."
+    """Download a file and save it with the specified file name."""
     response = requests.get(file_url)
     if response:
         local_file_path.write_bytes(response.content)

python-polars/scanning_data.py

@@ -1,6 +1,6 @@
 import pathlib
-from downloads import download_file
 import polars as pl
+from downloads import download_file
 
 url = "https://data.wa.gov/api/views/f6w7-q2d2/rows.csv?accessType=DOWNLOAD"
 local_file_path = pathlib.Path("electric_cars.csv")