Numpy Python Library For Beginners (Part 2) | Machine Learning and Data Science Basics

Numpy Python Library is a widely used package for data analysis and machine learning tasks. It adds support for large, multi-dimensional arrays and matrices. Also, it offers a large collection of high-level mathematical functions to operate on these arrays. The key advantages of using Numpy include its speed, efficiency, flexibility, and ease of use. It is also used by developers as the base to build other libraries.

In this video, we will cover how to:
- Initialize an Array with Random Integers/Float Values
- Initialize Array with Only Zeros or Ones
- Create an Array with Equally Spaced Values
- Perform Operations on Array
- Sort Values in Array
- Concatenate Two or More Arrays
- Reshape Values of Array
- Check Conditions in Arrays
- Get Sum of All Elements in Array
- Know Min, Max Values of Array
- Get Unique Items and Counts
- Reverse An Array
- Convert Any Array to 1D (Flattening)
- Very Important Tip related to Numpy library of python

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[heera]

Thanks for part-2, All ready watched part-1, Great work by You.

[anzarequbal]

The way you explain that is awesome, keep it up👍

[Arif-czxn]

awesome quick and precise training to gain knowledge on NumPY. Thanks so much. It would be great if you cover other libraries.

[YourAIFriend-gufr]

Very helpful. Do you provide online classes?