EDA Python - 16-1_Numpy_Introduction

The video tutorial introduces NumPy, a Python library for fast matrix calculations, similar to Matlab. It covers importing NumPy, checking its version, and creating arrays using various methods. The tutorial explains how to specify data types for arrays and demonstrates functions like arange and linspace for generating arrays. It also shows how to create arrays filled with ones or zeros, highlighting the importance of consistent data types for optimized performance.

What happens when you create an array with mixed data types in NUM PY?

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Describe how to create a 2-dimensional array in NUM PY.

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