Merge branch 'main' into fix-arrow-groupby-na

Author: asharmalik19

pandas/core/frame.py

@@ -3205,9 +3205,13 @@ def to_html(
             Convert the characters <, >, and & to HTML-safe sequences.
         notebook : {True, False}, default False
             Whether the generated HTML is for IPython Notebook.
-        border : int
-            A ``border=border`` attribute is included in the opening
-            `<table>` tag. Default ``pd.options.display.html.border``.
+        border : int or bool
+            When an integer value is provided, it sets the border attribute in
+            the opening tag, specifying the thickness of the border.
+            If ``False`` or ``0`` is passed, the border attribute will not
+            be present in the ``<table>`` tag.
+            The default value for this parameter is governed by
+            ``pd.options.display.html.border``.
         table_id : str, optional
             A css id is included in the opening `<table>` tag if specified.
         render_links : bool, default False

pandas/io/formats/format.py

@@ -897,9 +897,13 @@ def to_html(
             ``<table>`` tag, in addition to the default "dataframe".
         notebook : {True, False}, optional, default False
             Whether the generated HTML is for IPython Notebook.
-        border : int
-            A ``border=border`` attribute is included in the opening
-            ``<table>`` tag. Default ``pd.options.display.html.border``.
+        border : int or bool
+            When an integer value is provided, it sets the border attribute in
+            the opening tag, specifying the thickness of the border.
+            If ``False`` or ``0`` is passed, the border attribute will not
+            be present in the ``<table>`` tag.
+            The default value for this parameter is governed by
+            ``pd.options.display.html.border``.
         table_id : str, optional
             A css id is included in the opening `<table>` tag if specified.
         render_links : bool, default False

web/pandas/community/ecosystem.md

@@ -496,17 +496,29 @@ You can find more information about the Hugging Face Dataset Hub in the [documen
 
 ## Out-of-core
 
-### [Bodo](https://bodo.ai/)
+### [Bodo](https://github.com/bodo-ai/Bodo)
 
-Bodo is a high-performance Python computing engine that automatically parallelizes and
-optimizes your code through compilation using HPC (high-performance computing) techniques.
-Designed to operate with native pandas dataframes, Bodo compiles your pandas code to execute
-across multiple cores on a single machine or distributed clusters of multiple compute nodes efficiently.
-Bodo also makes distributed pandas dataframes queryable with SQL.
 
-The community edition of Bodo is free to use on up to 8 cores. Beyond that, Bodo offers a paid
-enterprise edition. Free licenses of Bodo (for more than 8 cores) are available
-[upon request](https://www.bodo.ai/contact) for academic and non-profit use.
+Bodo is a high-performance compute engine for Python data processing.
+Using an auto-parallelizing just-in-time (JIT) compiler, Bodo simplifies scaling Pandas
+workloads from laptops to clusters without major code changes.
+Under the hood, Bodo relies on MPI-based high-performance computing (HPC) technology—making it
+both easier to use and often much faster than alternatives.
+Bodo also provides a SQL engine that can query distributed pandas dataframes efficiently.
+
+```python
+import pandas as pd
+import bodo
+
+@bodo.jit
+def process_data():
+    df = pd.read_parquet("my_data.pq")
+    df2 = pd.DataFrame({"A": df.apply(lambda r: 0 if r.A == 0 else (r.B // r.A), axis=1)})
+    df2.to_parquet("out.pq")
+
+process_data()
+```
+
 
 ### [Cylon](https://cylondata.org/)