NumPy is a Python library that stands for "Numerical Python." It's one of the fundamental packages for numerical computing in Python, providing support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays efficiently.
| Function | Description |
|---|---|
numpy.array() |
Create an array from a Python list or tuple |
numpy.zeros() |
Create an array filled with zeros |
numpy.ones() |
Create an array filled with ones |
numpy.arange() |
Create an array with evenly spaced values within a range |
numpy.reshape() |
Reshape an array into a new shape |
numpy.transpose() |
Transpose the rows and columns of an array |
numpy.concatenate() |
Concatenate arrays along a specified axis |
numpy.mean() |
Compute the mean along a specified axis |
numpy.max() |
Find the maximum value along a specified axis |
numpy.linalg.inv() |
Compute the inverse of a square matrix |
Refer the code section to get a basic knowlegde of how numpy function are used in python.