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# Table of Contents —

• Creating high dimensional NumPy array
• NumPy operations
• Indexing
• Stats with NumPy

👉Also, I make a YouTube video on this for your better understanding.

Go Ahead! and watch.

# Installation —

• As NumPy is an external library. So we will install it first.
`> pip install numpy> import numpy as np`

For more in-detail codes on NumPy, you can refer to my GitHub repository.

# 1. Creating high dimensional NumPy array —

• In this portion, I will tell you how to create several types of high-dimensional NumPy arrays.

# 2. NumPy Operations —

`arr1 = np.random.rand(3, 4)arr2 = np.random.rand(3, 4) #creating 3*4 numpy array`
• Numpy includes some of the operations like add, subtract, sin, cos, etc.

# 3. Indexing

Indexing refers to take out some part from the array. This can be done in several ways.

# 4. Stats with Numpy

NumPy offers a great range of statistical functions like mean, median, percentile, etc.

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