Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...

The new data lakehouse is billed as a single platform for multiple use cases including transactional, agentic, decision ...

IT之家注：pyodbc 是业界常用的 Python 语言 SQL Server 数据库驱动，因其社区活跃、历史悠久且稳定性良好等因素，广受开发者欢迎。在同时处理 1000 个连接时，性能提升甚至达到 16… ...

IT之家 8 月 13 日消息，科技媒体 NeoWin 昨日（8 月 12 日）发布博文，报道称微软正式发布自家 SQL Server Python 驱动 mssql-python， 并声称其在性能、内存 ...

markdown 微软近日正式推出其 SQL Server 的 Python 驱动程序 mssql-python ，标志着其在数据库连接和性能优化方面迈出了重要一步。这一举措旨在提升 Python 开发者与 SQL Server 数据库交互的效率和体验。

Announcing SQL Server 2025—empowering customers to develop modern AI applications securely using their data, complete with best-in-class security, performance, and availability.

Python, R, or SQL: Which reigns supreme in 2025's data science landscape? Compare trends and use cases to choose best language for your data science projects.

Technologies Used Python: For data extraction, cleaning, and transformation. Libraries: pandas, numpy, SQLAlchemy, pyodbc Kaggle API: To extract data from Kaggle datasets. SQL Server: As the database ...

Discover the key differences and uses of SQL vs Python for data scientists. Find out which is best for your data analysis needs.

The TIOBE Index is an indicator of which programming languages are most popular within a given month. According to the TIOBE ...