Overview Modern Python automation now relies on fast tools like Polars and Ruff, which help cut down processing time and ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Researchers discovered an appetite-suppressing molecule in python blood. If one day turned into a medication, it might lack ...

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

Experts advise focusing on Python, MySQL, and Networking, practicing output questions, mastering SQL basics, revising key concepts, and managing time effectively., Education, Times Now ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

Abstract: The Text-to-SQL task is to convert natural language queries into Structured Query Language (SQL) to achieve a natural language interface for database queries. The current research on Text-to ...

Excel to SQLite simplifies the process of importing Excel data into SQLite databases. It provides automatic schema detection, data transformations, validation rules, and includes an intelligent ...

Abstract: This paper presents a novel model we called HIT-SQL to enhance text-to-SQL query generation using large language models (LLMs) with progressive active learning. HITSQL is specifically ...