Turn any text into a queryable database. Logs, code, CSVs, JSON, config files—they're all just data you can't query yet. Sift changes that. Pipe any text through sift and instantly query it with SQL.

Regex (very incomplete) implementation in pure Python. Only intended to illustrate the related concepts in a simple way, hopefully. As part of what I call the "How it's made - Software edition" ...

If you use Excel 40 hours a week (and those are the weeks you are on vacation), welcome to the MrExcel channel. Home to 2,400 free Excel tutorials. Bill "MrExcel" Jelen is the author of 67 books about ...

In this tutorial, we delve into building an advanced data analytics pipeline using Polars, a lightning-fast DataFrame library designed for optimal performance and scalability. Our goal is to ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

This tutorial will guide you through the process of using SQL databases with Python, focusing on MySQL as the database management system. You will learn how to set up your environment, connect to a ...

In this Microsoft SQL Server and JDBC tutorial, you'll learn how to connect to a Microsoft SQL Server in Java using JDBC. The steps are relatively straightforward: Each database is different, so ...

This blog post is firstly published on my personal blogging site [kanby.net] The most common patterns of Regex are: 'a, b, c, d, e, f, g, h, i, j, k, p, q, r, r' ...

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