Data Analysis in Python: List of NumPy Operations in Python With Example
Welcome to our video on Numpy Operations in Python! To know more about AlmaBetter, please visit our website https://link.almabetter.com/egMY
In this video, we'll be discussing all the essential operations that can be performed using the NumPy library in Python. Whether you're a beginner in data science or looking to brush up on your skills, this video is for you!
We'll start with advanced NumPy operations, including NumPy in-place operations, and how to perform mathematical operations on arrays.
By the end of this video, you'll have a solid understanding of the different operations that can be performed using the NumPy library in Python, and you'll be able to implement them in your data science projects with confidence. So, join us on this journey and take your data science skills to the next level!
Chapters:
00:03 - Introduction
00:30 - Array Manipulation
01:26 - numpy.transpose
05:27 - numpy.reshape
17:05 - numpy.resize
23:07 - numpy.flatten
26:46 - numpy.insert
37:47 - numpy.append
43:51 - numpy.delete
48:27 - numpy.unique
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