Added numpy intro

contrib/numpy/Introduction.md

@@ -1,36 +1,30 @@
 # Introduction
 
-## What is Numpy?
+## What is NumPy?
 
-NumPy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. It is open-source software.
+NumPy is a powerful array-processing library in Python, essential for scientific computing. It provides efficient data structures and tools for working with multidimensional arrays.
 
-## Features of NumPy
+## Key Features
 
-NumPy has various features including these important ones:
+1. **Efficient Arrays:** NumPy offers high-performance N-dimensional array objects for swift data manipulation.
+2. **Broadcasting:** Advanced broadcasting enables seamless element-wise operations on arrays of varying shapes.
+3. **Interoperability:** NumPy seamlessly integrates with C, C++, and Fortran, enhancing performance and versatility.
+4. **Mathematical Tools:** Comprehensive support for linear algebra, Fourier transforms, and random number generation.
 
-1. A powerful N-dimensional array object
-2. Sophisticated (broadcasting) functions
-3. Tools for integrating C/C++ and Fortran code
-4. Useful linear algebra, Fourier transform, and random number capabilities
+## Installation
 
-## Install Numpy
-
-Before installing Numpy, ensure you have Python installed on your system. You can download and install Python from the [official Python website](https://www.python.org/).
-
-Numpy can be installed via the following pip command:
+Ensure Python is installed in your system. If not you can install it from here([official Python website](https://www.python.org/)),then install NumPy via:
 
 ```bash
 pip install numpy
-
 ```
 
-# How to import NumPy
+# Importing NumPy
 
-To access NumPy and its functions import it in your Python code like this:
+To access NumPy functions, import it with the alias `np`:
 
-```bash
+```python
 import numpy as np
-
 ```
 
-We shorten the imported name to np for better readability of code using NumPy. This is a widely adopted convention that makes your code more readable for everyone working on it. We recommend to always use import numpy as np.
+Using `np` as an alias enhances code readability and is a widely adopted convention.