Importing Excel files into SQL Server using DuckDB and Python
Learn to use DuckDB to read data from Excel and then send it to SQL Server with Python and Pandas.
2026-09-02
4,945 reads
Learn to use DuckDB to read data from Excel and then send it to SQL Server with Python and Pandas.
2026-09-02
4,945 reads
Build scalable data pipelines by pushing transformations into SQL and keeping Python focused on analysis.
2026-08-14
In this article, you’ll learn step-by-step setup, Python code implementation, troubleshooting, and best practices to ensure your solution is secure and scalable.
2026-07-20
1,665 reads
Introduction Conversations about RAG almost always start with a vector database. This article suggests you dig deeper before implementing one.
2026-06-19
1,356 reads
Learn how you can run a simple LLM on your own machine with Python.
2026-06-17
4,196 reads
In this article, learn how PostgreSQL powers data science workflows, including query execution, performance optimization, indexing, data retrieval, and more.
2026-06-12
Four years ago I wrote a blog on this site explaining why Python is better than C# and, arguably, most other programming languages. To redress the balance, here are 10 reasons why you might want to avoid getting caught up in Python’s oh-so-tempting coils – particularly when building large, long-lived systems.
2026-03-02
This article shows a technique for cleaning out older data from PostgreSQL tables using Python to follow a set of rules you create.
2026-01-30
1,007 reads
We have a script that can be used to help tune ind...
2026-01-21
1,731 reads
If you’re a SQL Server DBA or developer looking to harness AI for your everyday scripting workflows, this article will walk you through building an AI-powered T-SQL assistant using Python and SQL Server.
2025-11-19
By James Serra
Making Data AI-Ready, Part 3 (This is the final article in a three-part series...
By Steve Jones
I use ConEmu for my terminal interface. I’m still on Windows 10 at home,...
Creating a Fabric workspace takes about 30 seconds. Restructuring workspaces after people have built...
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Which number did the two COUNT(*) return:
DROP TABLE IF EXISTS #tmp CREATE TABLE #tmp (id INT NOT NULL) INSERT INTO #tmp (id) SELECT gs.value FROM GENERATE_SERIES(1, 5) AS gs ALTER TABLE #tmp ADD my_value INT NOT NULL CONSTRAINT df_tmp_my_value DEFAULT 1 SELECT COUNT(*) FROM #tmp AS t WHERE my_value = 1 ALTER TABLE #tmp DROP CONSTRAINT df_tmp_my_value ALTER TABLE #tmp ADD CONSTRAINT df_tmp_my_value DEFAULT 2 FOR my_value SELECT COUNT(*) FROM #tmp AS t WHERE my_value = 1See possible answers