Small documentation updates

doc/aggregation.rst

@@ -103,13 +103,13 @@ Going Fast with Numba
 
 The common aggregation functions listed above are implemented in
 Dataiter as both pure Python code (slow) and JIT-compiled `Numba
-<https://numba.pydata.org/>`_ code (fast). If you have Numba installed
-and importing it succeeds, then Dataiter will **automatically** use it
-for aggregation involving **boolean**, **integer**, **float**, **date**,
-and **datetime** columns. If Numba is not available, Dataiter will
-automatically fall back on the slower pure Python implementations. The
-result should be the same, whether Numba is used or not, excluding some
-minor rounding or float precision differences.
+<https://numba.pydata.org/>`_ code (fast). If you have Numba installed,
+then Dataiter will **automatically** use it for aggregation involving
+**boolean**, **integer**, **float**, **date**, and **datetime** columns.
+If Numba is not available, Dataiter will automatically fall back on the
+slower pure Python implementations. The result should be the same,
+whether Numba is used or not, excluding some minor rounding or float
+precision differences.
 
 Numba is currently not a hard dependency of Dataiter, so you'll need to
 install it separately::

doc/comparison/blocks/chain-dplyr.R

@@ -1,4 +1,4 @@
-data %>%
-    filter(year == 2021) %>%
-    arrange(desc(sales)) %>%
+data |>
+    filter(year == 2021) |>
+    arrange(desc(sales)) |>
     head(10)

doc/comparison/index.html

@@ -95,8 +95,7 @@ <h2>Chaining/Piping</h2>
       <pre data-src="blocks/chain-dplyr.R"></pre>
       <pre data-src="blocks/chain-dataiter.py"></pre>
       <pre data-src="blocks/chain-pandas.py"></pre>
-      <p class="note">Since 4.1.0 R has a native pipe as well <code>|></code>, which is mostly
-        interchangeable with the above magrittr pipe.</p>
+      <p class="note"></p>
       <p class="note"></p>
       <p class="note">Pandas is not really designed for method chaining but it mostly works these
         days. Note also that the "inplace" arguments that many methods take, which if used are