NumPy is a popular Python library for data science that provides powerful and efficient tools for manipulating arrays. Arrays are collections of data elements that have the same type and shape ...

First line of input consist of number of rows and the second line consist of number of column the third line is the matrix elements. We have to print it in diagonal print pattern.

Given an 2D array of integers we have to print in the spiral order where the first line is the number of rows and second line is the number of columns present in the array We have to move from left to ...

Arrays in Python give you a huge amount of flexibility for storing, organizing, and accessing data. This is crucial, not least because of Python’s popularity for use in data science. But what ...

You can create arrays from existing Python lists or tuples, or use NumPy functions to generate arrays with specific values or patterns. For example, you can use np.array() to convert a list into ...