Lecture
This lecture introduces Numpy and compares the memory usage between Python lists and Numpy ndArrays. It explains the memory representation of Python lists and Numpy Arrays, highlighting the advantages of Numpy in terms of fixed data type, fixed size, and contiguous storage. The lecture also covers the performance difference between Python lists and Numpy Arrays when performing element-wise operations, showcasing Numpy's significant speed improvement.