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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 Perimeter of Square in Python

Python - Perimeter of Square Calculation

Python - Perimeter of Square Calculation
Python - Perimeter of Square Calculation


Source Code

Aim :

    To calculate the perimeter of a square using formula in python.

Algorithm :

  • Get the required input from the user by using input statement for 'a'(one side of square).
  • Calculate the perimeter of square using formula (4*a).
  • Display the result with the help of print statement.

Program :

#calculate perimeter 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 perimeter of square using formula (4*a)
Perimeter_of_square = 4*a

#Display the perimeter of square using print statement
print("Perimeter of square is", Perimeter_of_square)

Output :

Enter the value of one side of a square : 
4
Perimeter of square is 16.0

Terminal Code :

Python - Perimeter of Square Program
Python - Perimeter of Square Program

Terminal Output :

Python - Perimeter of Square Output
Python - Perimeter of Square Output


Result :

    The output was executed successfully and result was verified.


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