Simplify Polars mention to quick name-drop

Author: kingkongbot

src/ezmiller/relaunching_tablecloth_time.clj

@@ -45,20 +45,8 @@
 ;; tree-based index is pure overhead — you'd rebuild it constantly. As Chris
 ;; Nuernberger (author of tech.ml.dataset) put it: "Just sorting the dataset and
 ;; using binary search will outperform most/all tree structures in this scenario."
-;; This is the same conclusion that [Polars](https://pola.rs/) reached. The
-;; Rust-based DataFrame library — now the fastest-growing Pandas alternative —
-;; has no index by design. You always specify the column explicitly:
-;;
-;; ```python
-;; # Pandas (implicit index)
-;; df = df.set_index('Time')
-;; df['2024-01']                      # slice via index
-;; df.resample('D').mean()            # resample via index
-;;
-;; # Polars (explicit column)
-;; df.filter(pl.col('Time').dt.year() == 2024, pl.col('Time').dt.month() == 1)
-;; df.group_by_dynamic('Time', every='1d').agg(pl.col('Demand').mean())
-;; ```
+;; (This is the same conclusion that [Polars](https://pola.rs/), the fastest-growing
+;; Pandas alternative, reached — no index by design.)
 ;;
 ;; **On convenience:** The index adds implicit state threaded through your data.
 ;; Tablecloth's API avoids this — you always say which columns you're operating on.