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Introduction to Numpy Library in Python

Introduction to Numpy Library in Python NUMPY - Introduction Introduction     NUMPY stands for Numerical Python. Numpy is one of the libraries for the python programming language. It is used for high level mathematical calculations. It has the large collection of functions for working with the multi-dimensional arrays, matrices, linear algebra, Fourier transform, etc. Installation of Numpy 1. Open the command or terminal on your system. 2. Enter the following command below.      #installation of NUMPY using PIP      pip install numpy       (OR)       #installation of NUMPY using CONDA      conda install numpy 3. Now, NUMPY installed on your system. To verify that use the command below.      #check for version of NUMPY      numpy --version  Tip : Use Anaconda Navigator , it comes with built-in software of JUPYTER NOTEBOOKS and pre-installed packages like Nump...

Calculate Area of Square in Python

Python - Area of Square Calculation

Python - Area of Square Calculation
Python - Area of Square Calculation


Source Code

Aim :

    To calculate the area of square by using formula in python.


Algorithm :

  • Get the required input from the user by using input statement for 'a'(one side of square).
  • Calculate the area of square using formula (a*a).
  • Display the result with the help of print statement.


Program :

#calculate area of square using formula in python

#a represents one side of a square and get input from user

a = float(input("Enter the value of one side of a square : "))


#calculate area of square using formula (a*a)

Area_of_square = a*a


#Display the area of square using print statement

print("Area of square is", Area_of_square)


Output :

Enter the value of one side of a square : 

4.2

Area of square is 17.64


Terminal Code :

Python - Area of Square Program
Python - Area of Square Program


Terminal Output :

Python - Area of Square Output
Python - Area of Square Output


Result :

    The output was executed successfully and result was verified.


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