Best Book on Measure Theory and Integration? - Malik, Singh, Gupta, Malik

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I apologize for the wait, but hopefully this book makes up for it. This is the BEST book on measure theory that I have come across. This is my opinion, not a fact. There is no one "best book" for ALL students/audiences. Perhaps there are others similar to this, but this one is still very good. A very readable and even fun introduction to measure theory. It has been a very long time since I've had this much fun with a math book. If anyone has any other books please let me know in the comments.

Affiliate links:
Measure Theory by Malik, Gupta, Singh and Malik: https://amzn.to/3xieDb9
Measure Theory by Axler: https://amzn.to/3PyMOBT
Measure Theory by Capinski and Kopp: https://amzn.to/49aUS2w
Measure Theory by Ash: https://amzn.to/4a6O3jR
Stochastic Calculus by Calin: https://amzn.to/3VwnsrV
Real Analysis by Tao: https://amzn.to/3xbnoE8
Measure Theory by Barra: https://amzn.to/3TPzviW
Differential Equations by Boyce and Diprima: https://amzn.to/43v7Qae

These are a few that I tried, but didn't mention in the video:
Geometric Measure Theory by Morgan: https://amzn.to/43vYrPD
Rigorous Probability Theory by Rosenthal: https://amzn.to/3vxissv
Probability and Random Variables by Song, Park, Yoon: https://amzn.to/3x9nPi6

Timestamps:
0:00 A little bit about the book
0:47 Preface, contents and more
1:35 What makes the book unique and prerequisites
2:48 Chapter 1
6:05 Chapter 2
9:45 Chapter 4
10:30 Price
10:39 The worst thing about this book
12:28 Closing comments
14:24 Two other books by Indian publishers