AiPy's pioneering dual-track architecture of task mode and Python mode has revolutionized the linear workflow of traditional data analysis. In task mode, users can trigger automatic code generation and execution through natural language commands (e.g., "draw a pie chart of product sales"), and the system will intelligently recognize the data file format and automatically complete the dependency libraries such as pandas. In Python mode, developers can directly write professional code, and both modes share the same data namespace.
This design revolutionizes the way business people can complete routine data processing in 90% in a conversational manner, while developers can seamlessly cut to professional coding in complex scenarios. Typical use cases include a marketer generating a first draft of a sales report in natural language, and a data scientist then appending machine learning code in Python mode, with no data translation or formatting required.
This answer comes from the articleAiPy: automating the task of running Python code for data analysisThe
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