NumPy: What Is Array Indexing, and Why Is It Useful?
In this video, we'll explore what array indexing is and why it's useful. We'll also look at a few examples to see how it works.
If you're new to Numpy, or you just need a refresher on how to use array indexing, then this video is for you! We'll cover everything you need to know about array indexing in Numpy, from basics to more advanced topics. By the end of this video, you'll have a clear understanding of what array indexing is and why it's useful!
This timeline is meant to help you better understand array indexing in NumPy:
0:00 Introduction.
0:08 What is array indexing in NumPy
0:26 Array Indexing a 1D Matrix in NumPy
0:59 Array Indexing a 2D Matrix in NumPy
2:02 Array Indexing a 3D Matrix in NumPy
2:50 Array Indexing acts as pointers
3:15 Outro
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What is Python and why you should learn Python? Python programming, in particular Python 3, is a growing programming language that is loved by many programmers due to its simple syntax and ease of use. Python allows for relatively easy debugging of your codes and there are many beautiful Python IDE’s available for free to make coding more enjoyable. Python is also very popular among Data Scientists and many machine learning applications.
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