Python Tutorial

Introduction Python Features Python Applications System requirements for Python Python Installation Python Basics Python Variables Python Data Types Python IDE Python Keywords Python Operators Python Comments Python Pass Statement

Python Conditional Statements

Python if Statement Python elif Statement Python If-else statement Python Switch Case

Python Loops

Python for loop Python while loop Python Break Statement Python Continue Statement Python Goto Statement

Python Arrays

Python Array Python Matrix

Python Strings

Python Strings Python Regex

Python Built-in Data Structure

Python Lists Python Tuples Python Lists vs Tuples Python Dictionary Python Sets

Python Functions

Python Function Python min() function Python max() function Python User-define Functions Python Built-in Functions Anonymous/Lambda Function in Python

Python File Handling

Python File Handling Python Read CSV Python Write CSV Python Read Excel Python Write Excel Python Read Text File Python Write Text File Read JSON File in Python

Python Exception Handling

Python Exception Handling Python Errors and exceptions Python Assert

Python OOPs Concept

OOPs Concepts in Python Classes & Objects in Python Inheritance in Python Polymorphism in Python Python Encapsulation Python Constructor Static Variables in Python Abstraction in Python

Python Iterators

Iterators in Python Yield Statement In Python

Python Generators

Python Generator

Python Decorators

Python Decorator

Python Functions and Methods

Python Built-in Functions Python String Methods Python List Methods Python Dictionary Methods Python Tuple Methods Python Set Methods

Python Modules

Python Modules Python Datetime Module Python Calendar Module  

Python MySQL

Python MySQL Python MySQL Update Operation Python MySQL Delete Operation

Python MongoDB

Python MongoDB

Python Data Structure Implementation

Python Stack Python Queue Python Hash Table Python Graph

Python Advance Topics

Speech Recognition in Python Face Recognition in Python Python Rest API Python Command Line Arguments Python JSON Python Virtual Environment Type Casting in Python Collections in python Python Enumerate Python Debugger Python DefaultDict


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How to

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How to run a Program in Python

How to run a Program in Python

Writing a program in Python is an easy task, beginners who are ready to kickstart their career in the world of programming can create wonders if they practice basic programs every day.

Python is a simple and easy-to-learn language. The feature that makes it popular is its understandable syntax. So, a person from a non-technical background will also get an idea of what exactly our objective is.

Python is the most preferred language in all the big leading companies which are the tech giants of the IT Industry. Some widely used applications such as YouTube & Dropbox use this language.

Since python is a high-level language there is no need to worry about the details of memory management in the program. Also, it’s interactive in nature so the users can directly execute their chunks of code on the interpreter.

So, the process remains the same, work on building your logic, acquire a good knowledge of the rules that you need to take care of while writing a program, and keep exploring!

Python has a huge library of modules that can provide solutions to complex problems through its in-built components.

Once you have written the code the next step is to execute the program and display the output.

The program we will use to understand the execution is given below-

 a=int(input("Enter 1st number: "))         #obtaining first value
 b=int(input("Enter 2nd number: "))       #obtaining second value
 c=a+b                                     #performing addition
 print("Sum of a and b is {}".format(c))  #displaying the result 
  1. Running a program in Command Prompt.

Command Prompt acts as an interpreter in Windows and on specifying the correct path and by using the necessary commands, we can perform the required tasks. Typing 'cmd' in the search area of the taskbar will show the command prompt option and then we can start working on it.

  • Open Command Prompt from the taskbar and run your file by specifying the file name.
  • Make sure you provide the correct destination of your file.
  • Running a program in Python IDLE.

IDLE is Python's Integrated Development & Learning Environment. It works in a similar manner on all the platforms and has this feature of an interactive interpreter.

Moreover, Python IDLE has a shell window and an editor window.

In Python IDLE, each statement is executed and the output is displayed for every line of a program.

  • Running a program in Spyder IDE

Spyder IDE is used for scientific programming in python and it is pre-installed in Anaconda Navigator. Packages like NumPy, matplotlib, scipy, and pandas are integrated with this.

It is used by data analysts, scientists, and engineers. It provides advanced editing options and great visualization tools.

  • The code given below shows how we can perform addition in python. Once you have written the code. Go to the file and click on 'Save As'. Save your file in the destination folder with .py extension.
  • Click on ‘Run’ or F5.

In the output window, you can enter the values and get the output.

  • Running a program in Jupyter Notebook

Jupyter Notebook amalgamates all our work in a manner that it looks well-presented and easy to comprehend. Data Science & Machine Learning projects are mostly made on this platform as new components can be easily integrated with the existing ones. Various processes like reading & fetching data from a file, data cleansing & pre-processing, exploratory data analysis, and visualization can be done on Jupyter Notebook.

Jupyter Notebook is that platform where business problems of different domains can be understood and based on the insights, we can report the required solution.

  • Open Jupyter Notebook
  • Write your code in the provided cells.
  • Once you have written the code, Go to ‘File’ and click on ‘Save As’.
  • Click on ‘Run’ or ‘Shift+Enter’ to run your code.
  • On execution, it will ask you to enter the values.
  • On entering the values, the expected output is displayed.

So, these are the four ways of executing a program in Python. Being a computer geek, we must make an effort to understand the functionality of all the four approaches (Running a program on command prompt, Running a program on Python IDLE, Running a program on Spyder IDE, and Running a program on Jupyter Notebook.)