I'm a Python beginner and a hardware development professional who needed pandas for work. After watching some Python basics and pandas lectures on YouTube, I found it too difficult to adapt to real-world applications, so I came to take this course. I'm so grateful that I'm leaving this review. I think many people like me who struggled with adapting to pandas probably couldn't read the "function documentation." I had never seen anyone explain the knowledge needed to read these function documentations, and I was just following examples below the documentation and gradually learning bit by bit. However, after watching this lecture, I gained the knowledge to read documentation and the direction for development, which enabled great confidence and rapid mastery. When I realized that the direction of this lecture was to build confidence in reading this "documentation" and develop the ability to understand and grow, I couldn't help but be moved by Kim Panda's big picture. (As a hardware developer, I also use a language called Verilog, and I'm very grateful that I can now understand this language's documentation as well.) The ipynb format allowed for comfortable hands-on practice, and I'm very grateful for the high density and direction provided within the short lectures. Also, the notes contain really important information, so I think this is a lecture that will be of great help to many people. I want to express my gratitude to Kim Panda, and if there are any working professionals considering whether to take this course, I would strongly recommend it. (And the lecture examples are so good. They resonate so well!)