docs(blog-post): add blog post comparing ibis to pandas and dask

docs/posts/pydata-performance/dask_impl.py

@@ -0,0 +1,39 @@
+from __future__ import annotations
+
+import logging
+
+import dask.dataframe as dd
+from dask.distributed import Client
+
+if __name__ == "__main__":
+    client = Client(silence_logs=logging.ERROR)
+    df = dd.read_parquet(
+        "/data/pypi-parquet/*.parquet",
+        columns=["path", "uploaded_on", "project_name"],
+        split_row_groups=True,
+    )
+    df = df[
+        df.path.str.contains(
+            r"\.(?:asm|c|cc|cpp|cxx|h|hpp|rs|[Ff][0-9]{0,2}(?:or)?|go)$"
+        )
+        & ~df.path.str.contains(r"(?:^|/)test(?:|s|ing)")
+        & ~df.path.str.contains("/site-packages/")
+    ]
+    print(
+        df.assign(
+            month=df.uploaded_on.dt.to_period("M").dt.to_timestamp(),
+            ext=df.path.str.extract(r"\.([a-z0-9]+)$", 0, expand=False)
+            .str.replace(r"cxx|cpp|cc|c|hpp|h", "C/C++", regex=True)
+            .str.replace("^f.*$", "Fortran", regex=True)
+            .str.replace("rs", "Rust")
+            .str.replace("go", "Go")
+            .str.replace("asm", "Assembly"),
+        )
+        .groupby(["month", "ext"])
+        .project_name.nunique()
+        .rename("project_count")
+        .compute()
+        .reset_index()
+        .sort_values(["month", "project_count"], ascending=False)
+    )
+    client.shutdown()