Understanding Array Attributes and Manipulation in NumPy

Welcome back to Day 5 of our 30-day NumPy challenge! In today's tutorial, we'll delve into understanding array attributes and manipulating arrays. You'll learn about important array attributes such as shape, size, and dtype, and how to effectively reshape, concatenate, and split arrays. These skills are crucial for efficient data manipulation in NumPy.

What You’ll Learn:
Array Attributes: shape, size, dtype
Reshaping Arrays: Changing the shape without altering data
Concatenating Arrays: Combining multiple arrays
Splitting Arrays: Dividing arrays into sub-arrays

chapters:

0:00 intro
0:25 Shape
1:02 Size
1:28 dtype
1:42 int64 vs int32
2:12 Reshape
3:02 Concatenation
3:40 axis
4:23 spliting
5:23 conclusion

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