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		<title>Dreaming up the next &#x22;Lab&#x22;</title>
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			<title>Original Blog Entry: Dreaming up the next &#x22;Lab&#x22;</title>
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			<pubDate>Tue, 30 Jun 2026 16:11:36 GMT</pubDate>
			<dc:creator>hypersoniq</dc:creator>
			<description><![CDATA[<p>So, I started on spreadsheets many years ago. I moved to Python (and a few C++) scripts to analyze csv draw histories. They all have the same thing in common... you have to have a solid idea before creating anything. I have taken these game histories across multiple concepts and it takes time to create each one only for the same result... nothing but an occasional coincidental hit.<br /><br />There are more ideas, but it would be better to have a rapid way to get a feel for how a new idea might pan out without needing to start from clean sheet spreadsheets or scripts for every single idea (and idea variant).<br /><br />I know I have mentioned it before, but the path may indeed be SQL. It does not even require converting the csv files into tables! So my initial challenge is to pick a database engine to use, which I have, PostgreSQL 18.3 (which is also an excellent choice for computational biology because it handles JSONB) and using a program like LextEdit to directly enter SQL queries. I have to set up the ODBC drivers for this solution, but if it gets too messy, I can default to the PostgreSQL command prompt, like I did when taking DB courses.<br /><br />I do not know if this will work, because I have not tried it yet, but it seems better than copying an entire spreadsheet and changing core formulas to try an idea variant or a partial rewrite of Python scripts for the same purpose.<br /><br />Anyone else tried SQL for rapid idea prototyping?... &#x5b;&#xa0;<a href="/blogentry/199444">More</a>&#xa0;&#x5d;</p>]]></description>
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