宋天龙

Public information about Song Tianlong is limited, and his nationality, dates of birth and death, and educational background cannot be confirmed. Judging from the three works held in the collection, his writing centers on computer technology fields such as big data, artificial intelligence, and programming design, with particular attention to the practical application of AIGC technologies. His representative works include AIGC-Assisted Data Analysis and Mining: Methods and Practice Based on ChatGPT, AIGC-Assisted Data Analysis and Data-Driven Operations: Scenario-Based Solutions and Case Studies, and Full-Stack Development and Application of Python Big Data Architecture. These works show that he excels at combining generative tools such as ChatGPT with data analysis, data-driven operations, and full-stack development, pairing methodological explanations with scenario-based cases for technical staff and business readers seeking to use AI to improve data work efficiency. Overall, his writing leans toward practical application and scenario-based solutions and offers some reference value in the categories of general computing and artificial intelligence.