Merge branch 'main' into encryption-blog-post

Author: szarnyasg

.markdownlint.jsonc

@@ -1,23 +1,24 @@
 {
     "$schema": "https://raw.githubusercontent.com/DavidAnson/markdownlint/main/schema/markdownlint-config-schema.json",
     "default": true,
-    "MD033": false,
     "MD007": false,
+    "MD009": false,
+    "MD010": false,
     "MD011": false,
     "MD012": false,
     "MD013": false,
-    "MD031": false,
-    "MD010": false,
-    "MD009": false,
-    "MD028": false,
     "MD014": false,
-    "MD037": false,
+    "MD024": false,
+    "MD026": {"punctuation": ".,;。，；："},
+    "MD028": false,
     "MD029": false,
-    "MD049": false,
+    "MD031": false,
     "MD032": false,
-    "MD026": {"punctuation": ".,;。，；："},
+    "MD033": false,
+    "MD037": false,
     "MD038": false,
-    "MD024": false,
+    "MD045": false,
+    "MD049": false,
     "MD050": false,
-    "MD045": false // TODO: fixme
+    "MD060": false
 }

Gemfile.lock

@@ -10,7 +10,7 @@ GIT
 
 GIT
   remote: https://github.com/duckdb/rouge.git
-  revision: a6636c7aff156afb07ed635dc83a4e071f61e150
+  revision: 11d332b70b95100b2d0c803b849bbe9cfc53e34a
   branch: duckdb
   specs:
     rouge (3.3823.1)

_posts/2021-05-14-sql-on-pandas.md

@@ -1,7 +1,7 @@
 ---
 layout: post
 title: "Efficient SQL on Pandas with DuckDB"
-author: Mark Raasveldt and Hannes Mühleisen
+author: Mark Raasveldt, Hannes Mühleisen
 excerpt: DuckDB, a free and open source analytical data management system, can efficiently run SQL queries directly on Pandas DataFrames.
 tags: ["using DuckDB"]
 ---

_posts/2021-06-25-querying-parquet.md

@@ -1,7 +1,7 @@
 ---
 layout: post
 title: "Querying Parquet with Precision Using DuckDB"
-author: Hannes Mühleisen and Mark Raasveldt
+author: Hannes Mühleisen, Mark Raasveldt
 excerpt: DuckDB, a free and open source analytical data management system, can run SQL queries directly on Parquet files and automatically take advantage of the advanced features of the Parquet format.
 tags: ["using DuckDB"]
 ---

_posts/2021-10-29-duckdb-wasm.md

@@ -1,7 +1,7 @@
 ---
 layout: post
 title: "DuckDB-Wasm: Efficient Analytical SQL in the Browser"
-author: André Kohn and Dominik Moritz
+author: André Kohn, Dominik Moritz
 excerpt: "[DuckDB-Wasm](https://github.com/duckdb/duckdb-wasm) is an in-process analytical SQL database for the browser. It is powered by WebAssembly, speaks Arrow fluently, reads Parquet, CSV and JSON files backed by Filesystem APIs or HTTP requests and has been tested with Chrome, Firefox, Safari and Node.js. You can try it at [shell.duckdb.org](https://shell.duckdb.org) or on [Observable](https://observablehq.com/@cmudig/duckdb)."
 tags: ["using DuckDB"]
 ---

_posts/2021-12-03-duck-arrow.md

@@ -1,7 +1,7 @@
 ---
 layout: post
 title: "DuckDB Quacks Arrow: A Zero-Copy Data Integration between Apache Arrow and DuckDB"
-author: Pedro Holanda and Jonathan Keane
+author: Pedro Holanda, Jonathan Keane
 excerpt: The zero-copy integration between DuckDB and Apache Arrow allows for rapid analysis of larger than memory datasets in Python and R using either SQL or relational APIs.
 tags: ["using DuckDB"]
 ---

_posts/2022-03-07-aggregate-hashtable.md

@@ -1,7 +1,7 @@
 ---
 layout: post  
 title: "Parallel Grouped Aggregation in DuckDB"
-author: Hannes Mühleisen and Mark Raasveldt
+author: Hannes Mühleisen, Mark Raasveldt
 excerpt: DuckDB has a fully parallelized aggregate hash table that can efficiently aggregate over millions of groups.
 tags: ["deep dive"]
 ---

_posts/2023-05-12-github-10k-stars.md

@@ -1,7 +1,7 @@
 ---
 layout: post
 title: "10 000 Stars on GitHub"
-author: Mark Raasveldt and Hannes Mühleisen
+author: Mark Raasveldt, Hannes Mühleisen
 thumb: "/images/blog/thumbs/github-10k-stars.svg"
 image: "/images/blog/thumbs/github-10k-stars.png"
 excerpt: ""

_posts/2023-05-17-announcing-duckdb-080.md

@@ -1,7 +1,7 @@
 ---
 layout: post
 title: "Announcing DuckDB 0.8.0"
-author: Mark Raasveldt and Hannes Mühleisen
+author: Mark Raasveldt, Hannes Mühleisen
 excerpt: ""
 thumb: "/images/blog/thumbs/duckdb-release-0-8-0.svg"
 image: "/images/blog/thumbs/duckdb-release-0-8-0.png"

_posts/2023-07-07-python-udf.md

@@ -1,7 +1,7 @@
 ---
 layout: post
 title: "From Waddle to Flying: Quickly Expanding DuckDB's Functionality with Scalar Python UDFs"
-author: Pedro Holanda, Thijs Bruineman and Phillip Cloud
+author: Pedro Holanda, Thijs Bruineman, Phillip Cloud
 excerpt: DuckDB now supports vectorized Scalar Python User Defined Functions (UDFs). By implementing Python UDFs, users can easily expand the functionality of DuckDB while taking advantage of DuckDB's fast execution model, SQL and data safety.
 tags: ["using DuckDB"]
 ---