Sync notes and files as of 2026-01-19 19:54:12 UTC

Author: one-data-cookie

_notes/data-coding/Learn ChatGPT and AI.md

@@ -5,7 +5,7 @@ category: data-coding
 tags: [learn, chatgpt]
 season: summer
 created: 2023-03-10
-updated: 2025-12-29
+updated: 2026-01-19
 sources: Misc
 ---
 
@@ -84,6 +84,7 @@ This makes it more powerful and flexible, and allows it to achieve better perfor
 - [ej:aj](https://ejaj.cz/): Czech database of AI tools
 - [BenCzechMark - Can your LLM Understand Czech?](https://huggingface.co/blog/benczechmark)
 - [Advent of No-Code](https://www.adventofnocode.io/): advent calendar of AI no-code tools
+- [poslední ping](https://blog.timutti.cz/): an experiment daily blog written by AI (in CS)
 
 ## Text
 - [ChatGPT](https://chatgpt.com/): needs no introduction
@@ -179,6 +180,7 @@ This makes it more powerful and flexible, and allows it to achieve better perfor
 | [Krea](https://www.krea.ai/3d)              | [TRELLIS.2](https://huggingface.co/spaces/microsoft/TRELLIS.2) | 0          | 0              | 1          | simple  | 6       |                                                                                      |
 | [Shapen](https://shapen.com/)               | TRELLIS                                                        | 0          | 1              | 1          | simple  | 4       |                                                                                      |
 
+- [Zoo Design Studio](https://zoo.dev/): text-to-CAD for generating models for CAD
 - [LegoGPT](https://avalovelace1.github.io/LegoGPT/): generate physically stable and buildable LEGO® designs from text
 
 # Details

_notes/data-coding/Learn SQL.md

@@ -5,7 +5,7 @@ category: data-coding
 tags: [learn, sql]
 season: summer
 created: 2021-02-21
-updated: 2025-02-18
+updated: 2026-01-19
 sources: Misc
 ---
 
@@ -32,13 +32,14 @@ sources: Misc
 - [Collection of insane and fun facts about SQLite](https://avi.im/blag/2024/sqlite-facts/)
 
 ## Tools
-- [Trino](https://trino.io/) – SQL query engine that runs at ludicrous speed. Used to be PrestoSQL.
+- [Trino](https://trino.io/): SQL query engine that runs at ludicrous speed. Used to be PrestoSQL.
 - [SQLite](https://sqliteonline.com/)
-- [Malloy](https://www.malloydata.dev/) – ["React of SQL"](https://roundup.getdbt.com/p/lots-going-on-metrics-malloy-sanity)
-- [Splink](https://github.com/moj-analytical-services/splink) – fast, accurate and scalable probabilistic data linkage
-- [Ibis](https://github.com/ibis-project/ibis) – translate Python to SQL
-- [SQLGlot](https://github.com/tobymao/sqlglot) – translate between SQL flavours
-- [SQLable](https://sqlable.com/) – format and validate SQL, test SQL regex, generate data, and explore SQL playgrounds
+- [Malloy](https://www.malloydata.dev/): ["React of SQL"](https://roundup.getdbt.com/p/lots-going-on-metrics-malloy-sanity)
+- [Splink](https://github.com/moj-analytical-services/splink): fast, accurate and scalable probabilistic data linkage
+- [Ibis](https://github.com/ibis-project/ibis): translate Python to SQL
+- [SQLGlot](https://github.com/tobymao/sqlglot): translate between SQL flavours
+- [SQLable](https://sqlable.com/): format & validate SQL, test SQL regex, generate data, SQL playgrounds
+- [TailwindSQL](https://github.com/mmarinovic/tailwindsql): write SQL as CSS, hah
 
 ## Snippets
 - [Snippets](https://sql-snippets.count.co/)

_notes/data-coding/Learn YAML.md

@@ -5,11 +5,10 @@ category: data-coding
 tags: [learn, yaml]
 season: spring
 created: 2021-03-11
-updated: 2023-04-12
+updated: 2026-01-19
 sources: Misc
 ---
 
-- [YAML Multiline](https://yaml-multiline.info/)
-	- Find the right syntax for your YAML multiline strings
-- [YAML anchors](https://joshdevlin.com/blog/yaml-repeating-sections/)
-	- Be DRY in YAMLs by using anchors
+- [YAML Multiline](https://yaml-multiline.info/): find the right syntax for your YAML multiline strings
+- [YAML anchors](https://joshdevlin.com/blog/yaml-repeating-sections/): be DRY in YAMLs by using anchors
+- [YAML? That’s Norway problem](https://lab174.com/blog/202601-yaml-norway/): an emblematic example of YAML complexities