Python For Beginners | Everything you need to start your first Python programmer

Python is a high-level, general-purpose, interpreted, Cross-Platform, Case Sensitive, and Object-Oriented programming Language. Python was created by Guido van Rossum and first released in 1991. It uses an Object-Oriented approach which makes the programmer write clear, logical code for projects. Python has become one of the most popular programming languages used in the world. It is easy to learn because its syntax is similar to the English language. It uses a new line to complete commands and indentation to indicate a block of code. Python is derived from C, C++, Algol-68, Unix Shell, and other scripting languages, etc. The latest version of the Python is Python 3.

In this article, we will install Python and create the first “Hello World” application using Python.

Environment Setup

Python can be installed in multiple ways in a system.

You can directly download the python from official website (as shown below). I am downloading Python for Windows. Python is also available for Mac OS and Linux.

Downloading Python 3

_Downloading Python 3_

On clicking download, an .exe package of size 25 MB is downloaded. Click on it to start the installation. Make sure to add Python 3.7 to the Path variable. (You can also do it manually as well.)

Adding Python 3.7 to PATH

_Adding Python 3.7 to PATH_

Open command prompt and type, “python --version” to check the version of Python installed on the system.

checking version installed

_Checking version of Python installed_

Run the Python command line interpreter by typing, “Python” in command prompt and pressing the enter key. Use the print function, which prints the given object on the Standard output device (Screen) or to the text stream file. For this demonstration, I am passing “Hello World” in the print function.

Passing "Hello World" in print function

_Passing "Hello World" in print function_

Next, we are going to create a python (.py) file. Open any text editor available in the system. For example, In Windows, open Notepad. Write the simple print method and save it as

saving file as

_Saving the file as MyFirstApp.py_

Now, run use the Python command followed by the script name (with its extension) and see the output in the command prompt.

output in command prompt

_Output in terminal_

Setting Up Visual Studio Code for Python:

Go here to download Visual Studio Code. Becuase I am running on Windows, I will download setup for Windows. Once downloaded, run the installer.

Running installer

_Running installer_

After successful installation, launch VS Code, click on the extension icon, and search extension for Python. Click on install. The extension will help us in providing intelligence, code formatting, debugging, etc.

Python extension for VSC

_Python extension for VSC_

Now, open a folder where you want to save your Python code. Then click on add new file, give it a meaningful name, and write the Python code in it. I have written a simple code for this demonstration.

First example

_First example_

Click on the debug icon and then start debugging. As I have created a single Python file, I selected the currently active Python file as debug configuration. In case your application did not start when you clicked the debug configuration option, you need to check the launch.json and settings.json files for the configuration-related issues.

debugging the active python file

_Debugging the active Python file_

The output of the application will be visible in the terminal, as well as in the debug console.

Output in terminal

_Output in terminal_

IDLE for Python Development

Python (in Windows) comes with IDLE (Integrated Development and Learning Environment) which can also be used for learning purposes. Search IDLE in the start button search and launch it.


_Launching IDLE_

You can also execute the python statements directly just as we did in Python Shell Command prompt.

_Executing Python statements directly_

To create a new script in IDLE, go to the file menu, and click on the new file button.

Creating new script in Idle

_Creating a new script in Idle_

Type the Python code in it and save it with a .py extension.

Saving with .py extension

_Saving the file with .py extension_

Once the file is saved, press F5 to run the module in the Python Shell. On a successful run, IDLE will show output something like below.

idle output

_IDLE output_

Python in Visual Studio:

Versions of Visual Studio Code past 2017 support the Python Development. During installation of Visual Studio Code, select the Python Development Component. I have already installed Python Development Tool in my Visual Studio 2017 IDE. Let’s create a new Python project (console application), as shown in the image below.

creating Python project

_Creating a Python project in Visual Studio_

In order to demonstrate, I have added some code in file. Click on run.

_Running PythonApp.py_

Anaconda Distribution

You can also install Python by installing open source Anaconda Distribution, which makes it easier to use Python for data science and machine learning on Windows, Linux, and Mac OS. Once downloaded, click on the next button to install it. During installation, you will be asked the location to install and to add path environment variables just like we did during python installation.

installing python 3

_Installing Python 3_

Anaconda Distribution provides libraries and tools with Python for data science, machine learning, and deep learning out of the box. It includes core Python language, 100+ python library, Spyder, pycharm, and Jupyter Notebook, which are IDEs. Search for Jupyter in the Anaconda Navigator in the start menu and launch it.

Starting Anaconda Navigator

_Starting Anaconda Navigator_

Running the Jupyter Notebook

Open the Anaconda Navigator, and click on the launch button in the Jupyter Notebook tile.

Anaconda navigator

_Anaconda Navigator dashboard_

Essentially, Jupyter Notebook is a web (client-server based) application that runs on your localhost on default port 8888. Its UI shows files and folders. You can create a new Jupyter notebook by clicking on the new button and selecting the Python 3 option.

python 3 environment

_Creating Python 3 environment_

In Jupyter Notebook, you can add cells, and, in each cell, you can write code or markdown cells, as per your need for the documentation purpose. You can execute the code by clicking on the run cell button. The notebook is saved with the .ipynb extension. It can also be exported to HTML and PDF formats

Hello, World Program

_Hello, world program_

I hope this article will help you in getting started with Python.


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Python For Beginners | Everything you need to start your first Python programmer
Ray  Patel

Ray Patel


top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

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Ray  Patel

Ray Patel


Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

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Sival Alethea

Sival Alethea


Learn Python - Full Course for Beginners [Tutorial]

This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you’ll be a python programmer in no time!
⭐️ Contents ⭐
⌨️ (0:00) Introduction
⌨️ (1:45) Installing Python & PyCharm
⌨️ (6:40) Setup & Hello World
⌨️ (10:23) Drawing a Shape
⌨️ (15:06) Variables & Data Types
⌨️ (27:03) Working With Strings
⌨️ (38:18) Working With Numbers
⌨️ (48:26) Getting Input From Users
⌨️ (52:37) Building a Basic Calculator
⌨️ (58:27) Mad Libs Game
⌨️ (1:03:10) Lists
⌨️ (1:10:44) List Functions
⌨️ (1:18:57) Tuples
⌨️ (1:24:15) Functions
⌨️ (1:34:11) Return Statement
⌨️ (1:40:06) If Statements
⌨️ (1:54:07) If Statements & Comparisons
⌨️ (2:00:37) Building a better Calculator
⌨️ (2:07:17) Dictionaries
⌨️ (2:14:13) While Loop
⌨️ (2:20:21) Building a Guessing Game
⌨️ (2:32:44) For Loops
⌨️ (2:41:20) Exponent Function
⌨️ (2:47:13) 2D Lists & Nested Loops
⌨️ (2:52:41) Building a Translator
⌨️ (3:00:18) Comments
⌨️ (3:04:17) Try / Except
⌨️ (3:12:41) Reading Files
⌨️ (3:21:26) Writing to Files
⌨️ (3:28:13) Modules & Pip
⌨️ (3:43:56) Classes & Objects
⌨️ (3:57:37) Building a Multiple Choice Quiz
⌨️ (4:08:28) Object Functions
⌨️ (4:12:37) Inheritance
⌨️ (4:20:43) Python Interpreter
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Shardul Bhatt

Shardul Bhatt


Why use Python for Software Development

No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas. 

By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities. 

Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly. 

5 Reasons to Utilize Python for Programming Web Apps 

Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.

Robust frameworks 

Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions. 

Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events. 

Simple to read and compose 

Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building. 

The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties. 

Utilized by the best 

Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player. 

Massive community support 

Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions. 

Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking. 

Progressive applications 

Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.

The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.


Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential. 

The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.

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Ray  Patel

Ray Patel


42 Exciting Python Project Ideas & Topics for Beginners [2021]

Python Project Ideas

Python is one of the most popular programming languages currently. It looks like this trend is about to continue in 2021 and beyond. So, if you are a Python beginner, the best thing you can do is work on some real-time Python project ideas.

We, here at upGrad, believe in a practical approach as theoretical knowledge alone won’t be of help in a real-time work environment. In this article, we will be exploring some interesting Python project ideas which beginners can work on to put their Python knowledge to test. In this article, you will find 42 top python project ideas for beginners to get hands-on experience on Python

Moreover, project-based learning helps improve student knowledge. That’s why all of the upGrad courses cover case studies and assignments based on real-life problems. This technique is ideally for, but not limited to, beginners in programming skills.

But first, let’s address the more pertinent question that must be lurking in your mind:

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