Engineers who are accustomed to using Python and JMP to perform data analysis on a daily basis may want to use JMP and Python in a unified environment to maintain the consistency and accuracy of data processing, while combining the strengths of each tool to achieve a 1+1>2 effect.
In this presentation, Professor Li will explain how to connect Python and JMP, customize JMP's automated data analysis flow based on the efficient and flexible development methods of the programming language, and perform continuous integration on the semiconductor YMS system.
