making it fundamental in numerical computing tasks. This function is particularly useful when you need to create arrays for iteration, sampling, or to use as indices in data manipulation
In Python programming, especially for data analysis and scientific computing,NumPyis an essential library that helps in managing large datasets with ease. Two of the most frequently used functionalities in NumPy areNumPy ReshapeandNumPy Flatten. These functions enable users to manipulate the shape of ...
making it fundamental in numerical computing tasks. This function is particularly useful when you need to create arrays for iteration, sampling, or to use as indices in data manipulation