Splitting the array in three subarrays using list argument

The Numpy library is a popular tool used for scientific computing in Python. One of the functions provided by Numpy is hsplit, which can be used to split an array horizontally into multiple sub-arrays.

In this video, we will explore how to use the hsplit function in Numpy to split an array horizontally. We will start by introducing the basic syntax of the hsplit function and the different parameters that can be used to customize the splitting process.

Next, we will demonstrate several examples of how to use hsplit to split an array horizontally. We will use various arrays of different sizes and shapes, and we will show how to split them into different numbers of sub-arrays. We will also cover how to split arrays with uneven dimensions, and how to specify the number of columns for each sub-array.

By the end of this video, you should have a good understanding of how to use the hsplit function in Numpy to split an array horizontally. Whether you are working on data analysis, scientific computing, or machine learning projects, this function can be a powerful tool in your arsenal for manipulating and analyzing data.
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