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.

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 ...

Justin Pot is a freelance journalist who helps people get more out of technology. CSV, or Comma Separated Values, are files used for all kinds of things, from managing large datasets to exporting data ...

SQL is the de facto query language used to interact with databases. Since SQL is declarative, users express the intended result of their query rather than the concrete procedural steps to produce the ...

df = wr.athena.read_sql_query(sql=sql_query database=database, s3_output=s3_query_output_path, ctas_approach=False) When I try with ctas_approach=False, I get an ...

Abstract: The Text-to-SQL task has significant application prospects in automating relational database query interfaces. It can reduce user learning costs and improve data query efficiency. However, ...

Security researchers have found a vulnerability in a key air transport security system that allowed unauthorized individuals to potentially bypass airport security screenings and gain access to ...

Text-to-SQL conversion is a vital aspect of Natural Language Processing (NLP) that enables users to query databases using everyday language rather than technical SQL commands. This process is highly ...

Researcher Jesse Dodge did some back-of-the-napkin math on the amount of energy AI chatbots use. "One query to ChatGPT uses approximately as much electricity as could light one light bulb for about 20 ...

Are you looking for a simple and effective way to analyze your data stored in CSV files? Good news! There’s a service called WhatTheDuck that allows you to execute SQL queries directly on your CSVs, ...