Python numpy.where() is an inbuilt function that returns the indices of elements in an input array where the given condition is satisfied.

**Python** **numpy.where()** is an inbuilt function that returns the indices of elements in an input array where the given condition is satisfied. Python’s numpy module provides a function to select elements based on condition. If you want to find the index in Numpy array, then you can use the numpy.where() function.

**Python numpy.where()** function iterates over a bool array, and for every True, it yields corresponding the element array x, and for every False, it yields corresponding item from array y. So, it returns an array of elements from x where the condition is **True** and elements from y elsewhere.

`numpy.where(condition[, x, y])`

In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.

Today you're going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates. We gonna use Python OS remove( ) method to remove the duplicates on our drive. Well, that's simple you just call remove ( ) with a parameter of the name of the file you wanna remove done.

Learn about NumPy Array, NumPy Array creation, various array functions, array indexing & Slicing, array operations, methods and dimensions,It also includes array splitting, reshaping, and joining of arrays. Even the other external libraries in Python relate to NumPy arrays.

NumPy in Python explains what exactly is Numpy and how it is better than Lists. It also explains various Numpy operations with examples.

In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.