Learn Numpy in One HOUR | Numpy Complete Tutorial

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Издатель Dec 1, 2020

If you're working with Python, Numpy library may be very useful if you want to perform fast numerical computations. In this video, I explore Numpy library from start to finish and cover all the important concepts in under one hour.

I first explain how we can create numpy arrays. Here we looked into different ways to create numpy arrays. Then, I show how we can index elements from the Numpy multi-dimensional arrays. Slicing operations with Numpy arrays is very interesting as we have to provide multiple values depending on the dimensions of the array. Further, I explore the different statistical and mathematical methods with Numpy module. I also showed how to sort Numpy arrays across different axis. Finally, I demonstrate very important concept in Numpy, called Broadcasting.

Creating arrays from Python Sequence [2:09]
How to create Identity array in Numpy [10:37]
Creating Random arrays using Numpy [11:40]
Performance comparison of Python vs Numpy arrays [176:17]
Data types in Numpy [19:44]
Indexing Numpy multi-dimensional arrays [21:56]
Slicing multi-dimensional arrays in Numpy [25:47]
Views and Copy [29:48]
Common operations with Numpy arrays [32:05]
Using Numpy array Axis [41:10]
Sorting Numpy array elements [44:14]
Broadcasting [45:36]
Shape Manipulation [50:08]

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