The NumPy Array: A Structure for Efficient Numerical Computation

摘要

In the Python world, NumPy arrays are the standard representation for numerical data and enable efficient implementation of numerical computations in a high-level language. As this effort shows, NumPy performance can be improved through three techniques: vectorizing calculations, avoiding copying data in memory, and minimizing operation counts. The Python programming language provides a rich set of high-level data structures, such as lists for enumerating a collection of objects and dictionaries to build hash tables. However, these structures aren't ideally suited to high-performance numerical computation.