NumPy Basics: Arrays and calculation of loss amounts

Numpy:numerical Python is the foundation package for high-performance scientific computing and data analysis.

Some features:

1. Ndarray: A fast and space-saving multidimensional array with vector arithmetic operations and complex broadcast capabilities;
2. Standard mathematical function for fast operation of the entire set of data (no need to write loops);
3. Tools for reading and writing disk data, and tools for manipulating memory-mapped files;
4. Linear algebra, random number generation and Fourier transform function;
5. For the integration of C, C + +, Fortran and other languages written code tools;

Most data analysis applications focus on the following features:

1. For

NumPy Basics: Arrays and calculation of loss amounts