mindmap root((Numpy Knowledge Base)) Basics Array Creation Numpy Array Zeros and Ones Empty Array From List Array Properties Shape Size ndim dtype Operations Arithmetic Operations Addition Subtraction Multiplication Division Array Manipulation Reshape Flatten Transpose Concatenate Indexing Basic Indexing Slicing Boolean Indexing Fancy Indexing Linear Algebra Matrix Multiplication Determinants Eigenvalues Inverse Random Module Random Numbers Random Seed Distributions Statistics Mean Median Standard Deviation Variance
概述
NumPy 定义
NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random simulation and much more.
NumPy 是 Python 中科学计算的基础包。它是一个 Python 库，提供多维数组对象、各种派生对象（例如掩码数组和矩阵）以及用于对数组进行快速操作的各种例程，包括数学、逻辑、形状操作、排序、选择、I/O 、离散傅里叶变换、基本线性代数、基本统计运算、随机模拟等等
NumPy is a Python library and is written partially in Python, but most of the parts that require fast computation are written in C or C++.
NumPy 包的核心是 ndarray 对象。这封装了同质数据类型的_n_维数组，许多操作在编译代码中执行以提高性能
