A robust Python script that converts Excel (.xlsx, .xls) and CSV files to T-SQL INSERT statements, ready for execution in SQL Server or Azure SQL Database.

A lightweight, fast SQL query processor written in C that enables executing SQL queries directly on CSV files without requiring a database. For full documentation, see the /doc directory.

Abstract: This research introduces a novel system for converting natural language text into structured SQL queries using a hybrid [22] [23] Natural Language Processing (NLP) framework. The system ...

Have you ever found yourself staring at a sprawling Excel workbook, wondering if you’re using the right tool for the job? Between Power Query, Power Pivot, and VBA, it’s easy to feel like you’re ...

Abstract: Inferring structured queries from human language is a complex task that should take into account the lack of knowledge of structural languages like SQL, XQuery, XPath, etc..., in order to ...

What would it be like to chat with health records the way one could with ChatGPT? Initially posed by a medical student, this question sparked the development of ChatEHR at Stanford Health Care. Now in ...

Natural language interface to databases is a growing focus within artificial intelligence, particularly because it allows users to interact with structured databases using plain human language. This ...

This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...