Python Numpy introduction

 Python Numpy introduction

• Numpy is python Package which stands for "Numerical python".
• This was created in 2005 by Travis Oliphant.

Using Numpy we can perform the following functionalities:

1. Mathematical and logical calculations on Array.
2. Fourier transforms and routines for shape manipulation.
3. It has built in functions for Linear Algebra random number generation.
4. It used for scientific calculation.
5. It is faster than python List.
6. It is fast because it is associated with C Programming.

Numpy is often called as an alternate for MatLab ( a progamming platform designed specifically for engineers and scientist for data analysis. developing algorithms, Create model and application etc.)

NumPy is used with packages like SciPy (Scientific Python ) and Mat-Plotlib (Plotting Library) and this makes it capable to replace MATLAB.

1. One Dimensional Array is referred to as Vector.
2. Two Dimensional Array is referred to as Matrix.
3. Three Dimensional Array is referred to as Tensor.