- NumPy Tutorial
- NumPy - Home
- NumPy - Introduction
- NumPy - Environment
- NumPy - Ndarray Object
- NumPy - Data Types
- NumPy - Array Attributes
- NumPy - Array Creation Routines
- NumPy - Array from Existing Data
- Array From Numerical Ranges
- NumPy - Indexing & Slicing
- NumPy - Advanced Indexing
- NumPy - Broadcasting
- NumPy - Iterating Over Array
- NumPy - Array Manipulation
- NumPy - Binary Operators
- NumPy - String Functions
- NumPy - Mathematical Functions
- NumPy - Arithmetic Operations
- NumPy - Statistical Functions
- Sort, Search & Counting Functions
- NumPy - Byte Swapping
- NumPy - Copies & Views
- NumPy - Matrix Library
- NumPy - Linear Algebra
- NumPy - Matplotlib
- NumPy - Histogram Using Matplotlib
- NumPy - I/O with NumPy
- NumPy Useful Resources
- NumPy Compiler
- NumPy - Quick Guide
- NumPy - Useful Resources
- NumPy - Discussion
NumPy - Linear Algebra
NumPy package contains numpy.linalg module that provides all the functionality required for linear algebra. Some of the important functions in this module are described in the following table.
| Sr.No. | Function & Description |
|---|---|
| 1 | dot
Dot product of the two arrays |
| 2 | vdot
Dot product of the two vectors |
| 3 | inner
Inner product of the two arrays |
| 4 | matmul
Matrix product of the two arrays |
| 5 | determinant
Computes the determinant of the array |
| 6 | solve
Solves the linear matrix equation |
| 7 | inv
Finds the multiplicative inverse of the matrix |
Advertisements