The NumPy Arrays of Python Programming Language

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Welcome to the video series on Python tools of data science and machine learning where we're going to talk some of the specific libraries which us used widely in machine learning and data science.

This video is all about introduction to numpy arrays. Numpy arrays are the backbone of scientific computing in the python programming language and without it, it is very difficult to do data science and machine learning with python programming language.

In this video, I've explained the features or numpy arrays and why we prefer numpy arrays as compared to python lists. The numpy arrays takes much less memory as compared to numpy arrays and it is meant for mathematical operations whereas its difficult to do mathematical operations with python list.

I've also talked about various functions of numpy arrays which can be very helpful while doing data science and machine learning. I hope and belive that this video will help you in expediting your learning journey.

Timecodes
0:00 : Python NumPy Arrays
0:41 : import numpy as np
1:27 : numpy array function
1:49 : Python List vs numpy arrays
2:04 : Why prefer NumPy over Python list
2:56 : Memory usage of NumPy Arrays
3:31 : Memory comparision of NumPy arrays with Python List
4:24 : NumPy Data Types
5:55 : Why Numpy array takes less memory than python list
6:34 : numpy array unicode type
8:19 : numpy empty function
9:04 : reshape numpy arrays
9:53 : numpy zeros and numpy ones function
10:19 : numpy arange function
11:12 : numpy fill function
11:25 : Mathematical operations with NumPy Arrays

#python #numpy #scipy #datascience #machinelearning #dataanalytics #AI #softwaredevelopment

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