Optimizing Data Structures for Enhanced Python Performance

This chapter emphasizes the significance of selecting appropriate data structures for improving performance through JIT compilation in data science. It covers the benefits of NumPy arrays over Python lists, the introduction of typed lists and dictionaries, and the trade-offs of data access in Python versus Numba.