Merge pull request #288 from Hemav009/hs

Added introduction to numpy module

contrib/numpy/index.md

@@ -1,3 +1,3 @@
 # List of sections
 
-- [Section title](filename.md)
+- [Introduction](introduction.md)

contrib/numpy/introduction.md

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+# Introduction
+
+## What is NumPy?
+
+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.
+
+## Key Features
+
+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.
+
+## Installation
+
+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
+```
+
+## Importing NumPy
+
+To access NumPy functions, import it with the alias `np`.
+
+```python
+import numpy as np
+```
+
+Using `np` as an alias enhances code readability and is a widely adopted convention.