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1.2 numpy creating1D 2D and 3D array in numpy python elcome to our Numpy tutorial! In this video, we will explore how to create 1-dimensional (1D), 2-dimensional (2D), and 3-dimensional (3D) arrays using the powerful Python library, Numpy.

Numpy is a fundamental tool for scientific computing in Python, and it provides efficient ways to work with arrays of various dimensions. In this tutorial, we will cover the following topics:

Creating a 1D Array: Learn different methods to create a 1D array in Numpy, including using the numpy.array() function, numpy.arange(), and numpy.linspace(). We will also explore data type specifications and array attributes.

Creating a 2D Array: Dive into creating 2D arrays in Numpy. We will discuss methods such as using nested lists, the numpy.reshape() function, and generating random 2D arrays. You'll also learn about common attributes like shape and size.

Creating a 3D Array: Discover how to create 3D arrays in Numpy, which are useful in various scientific and data analysis applications.