This subject studies the integrated learning method of blocky codes and Python language. The teaching objects are students of Non-Computer-Science-based who enrolled in freshman. Due to the teaching experience of the programming course in the 106 school year and the implementation of the 107 Teaching Practice Research Program- “Evaluation of Learning Effectiveness about programing by Blocky codes for Non- Computer-Science-based College Students” [1], it was found that the blocky codes can indeed trigger programming interest of Non-Computer-Science-based students . The Python language itself is suitable for big data analysis of internet. In addition, the indentation structure of Python syntax is similar to blocky codes. This subject is a way to integrate blocky codes programming and Python language learning, so that when students learn programming logic with blocky codes, they can also compare the syntax of, sequence, selection and iteration of Python programs, and learn from outcomes of questionnaires, tests, and assignments about teaching Python programs with blocky codes.