Yoda Response: While my primary focus has been on full-stack development, I do have some experience using NumPy and pandas during a machine learning project in one of my courses. We developed an image recognition program aimed at categorizing objects as either fruits or vegetables. The data we worked with included various images, and we used NumPy for numerical operations and pandas for data manipulation and preprocessing.

One of the challenges we faced was efficiently handling and transforming the image data to make it suitable for the machine learning model. Initially, it was tricky to get accustomed to Python's syntax and the specific functionalities of NumPy and pandas. However, with persistence and practice, we were able to overcome these challenges and successfully implement the program. This experience gave me a foundational understanding of these powerful libraries and their applications in data manipulation.