Text to Speech in python using pyttsx3 module

Magic constant generator -python3/hacker rank solution / tcs fresco play

def generator_Magic ( n1 ): # the value starts from 3 and m is formula for constant, #for generator yield should use for a in range ( 3 , n1 + 1 ): m = a * ( a ** 2 + 1 ) / 2 yield m # Write your code here if __name__ == '__main__' :

Handling Exceptions 1 | hacker rank solution

#!/bin/python3 import math import os import random import re import sys # # Complete the 'Handle_Exc1' function below. # # def Handle_Exc1 (): a = int ( input ()) b = int ( input ()) if a > 150 or b < 100 : raise ValueError ( "Input integers value out of range." ) if a + b > 400 : raise ValueError ( "Their sum is out of range" ) print ( "All in range" ) # Write your code here if __name__ == '__main__' : try : Handle_Exc1 () ...

Getting Started with NumPy: A Comprehensive Guide

NumPy is a fundamental library for scientific computing with Python. It provides support for large, multi-dimensional arrays and matrices, along with mathematical functions to operate on these arrays. This tutorial will introduce you to the basics of NumPy and its core functionalities. Installing NumPy Before diving into NumPy, make sure you have it installed. You can install NumPy using the following command: pip install numpy pip install numpy Importing NumPy Once installed, you can import NumPy in your Python script or Jupyter notebook as follows: import numpy as np Now, let's explore some of the essential features of NumPy. NumPy Arrays NumPy's primary data structure is the array. An array is a grid of values, and it can be one-dimensional or multi-dimensional. Here's how you can create a simple one-dimensional array: import numpy as np # Creating a one-dimensional array arr1 = np.array([1, 2, 3, 4, 5]) print(arr1) For multi-dimensional arrays, you can use nested ...

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