I am a liberal arts graduate student who is not pursuing a career as a developer at all. I thought I needed to learn Python for research data processing, so I was looking for statistics lectures little by little, and through this lecture, I was able to build a solid foundation in Python better than any other lecture. I learned Python and R in liberal arts lectures offered at my university, but I didn't know how programming languages work because I was learning core analysis, and I was very uninterested. However, this time, I was able to build up basic grammar well, and I found out that crawling technology, which I thought I didn't need, could be very useful. There were more things in open APIs that I could use for my research data than I thought. I could feel my perspective broadening as I learned more. 17 hours is a long time if it's long, and a short time if it's short, but for me, it was a lecture that I could follow along well by listening to it every day for about two weeks. I also gained confidence that I will be able to conduct the analysis I want through coding practice that builds up from the basics in the future. I also learned the enthusiasm for continuously updating good lectures. Regardless of the field, I think those who have passion and want to develop themselves are truly amazing. I wish you and your students good luck.