There is a matrix A1 = array([[0, 0, 0, 0, 1, 0], [0, 1, 0, 1, 0, 0], [0, 0, 1, 1, 1, 0], [1, 0, 0, 1, 0, 1]]) Multiply the vector vector = [1,2,3,4] by the matrix A1

import numpy as np

A1 = np.array([[0, 0, 0, 0, 1, 0],
       [0, 1, 0, 1, 0, 0],
       [0, 0, 1, 1, 1, 0],
       [1, 0, 0, 1, 0, 1]])

vector = [1,2,3,4]

A1.dot(vector)

Python

Generate More

Feature Preview

Generate

More than just a code generator. A tool that helps you with a wide range of tasks. All in one place.

Function from Description: Generate a function just by describing what is needs to do. Choose of many programming languages.
Text Description to SQL Command: Create a SQL command from a description.
Translate Languages: Translate code to any programming language.
Generate HTML from Description: Generate small HTML from Description.
Code to Explanation: Any code explained in plain english.
Fix invalid Code: To spot a missing character somewhere can be frustrating. This feature will help you to fix it.
Get Test for Code: This feature will help you to create tests for your code.
Class from Description: Generate a class just by describing what is needs to do. Choose of many programming languages.
Regex from Description: Create a regex from a description like "check for email".
Regex to Explanation: Create a plain english explanation from a regex.
Git Command from Description: Find the Git Command you are looking for from a description.
Linux Command: Get the linux command from a description.
Function from Docstring: Provide a docstring to generate the actual function.
Add typing to code: This feature will help you to add typing to your code.
Get Language from Code: Get the programming language from a code.
Time complexity: Get time complexity.
CSS from Description: Generate CSS from Description.
Meta Tags from Description: Generate Meta Tags from a Description.

− sponsored −

Questions about programming?Chat with your personal AI assistant

Get chatting now

Contact Privacy Policy zigarettenautomatkarte.de