How to use numpy in python

NumPy is a Python package. It stands for "Numeric Python". It is a library consisting of multidimensional array objects and a collection of routines for working with arrays.

To use numpy scientific computing library in python, you must first import it using the import keyword before you can use it.

Using Numpy we can easily perform the following calculations: (Recommended learning: Python video tutorial)

Arithmetic and logic of arrays Operation.

Fourier transforms and routines for graphics operations.

Operations related to linear algebra.

NumPy has built-in functions for linear algebra and random number generation.

We can introduce numpy, if no error is reported, it means it has been installed normally

 import numpy as np

NumPy - Ndarray object

defined in NumPy The most important object is an N-dimensional array type called ndarray. It describes a collection of elements of the same type. Items in a collection can be accessed using zero-based indexing.

Each element in an ndarray uses the same size block in memory. Each element in an ndarray is an object of data type objects (called dtype).

Any element extracted from an ndarray object (via slicing) is represented by a Python object of array-scalar type. The following diagram shows the relationship between ndarray, data type object (dtype) and array scalar type.

Look at the example below to understand better.

import numpy as np
a = np.array([1,2,3])  
print a

For more Python related technical articles, please visit the Python Tutorial column to learn!

The above is the detailed content of How to use numpy in python. For more information, please follow other related articles on the PHP Chinese website!