Alexey Kartsev

Alexey Kartsev


How to Install VSCode for Python on Windows

Visual Studio Code or popularly known as VSCode is a cross-platform, lightweight editor and became popular in a very short span. It provides support for several programming languages. It also supports plugin development and there are several community-driven plugins available for it.

In this tutorial, we will discuss how to install Visual Studio Code or VSCode for Python development on Windows and getting started with Python development using the Hello World Project. It provides several features for Python development including IntelliSense, Syntax Highlighting, Bracket Matching, Snippets, Linting, etc.

It assumes that Python is already installed on the system. You may also be interested in How To Install Python On Windows and Python Cheatsheet to learn or brush up the basics of Python.

Step 1 - Download Visual Studio Code

We can download Visual Studio from the official download page. It provides options for Windows as shown in Fig 1.

Download Visual Studio Code
Fig 1

Click on the 64-bit installer option as highlighted in Fig 1. All the new systems support 64-bit. Choose your option according to system configuration. The version 1.37.1 gets downloaded while writing this tutorial.

Step 2 - Install Visual Studio Code

In this step, we will install the Visual Studio Code downloaded by us in the previous step. Double click the installer to execute it. It will ask to accept the License Agreement as shown in Fig 2.

Acccept License Agreement
Fig 2

Accept the agreement and click on the Next Button. It asks to choose the installation directory as shown in Fig 3.

Visual Studio Code Install Location
Fig 3

Choose your preferred location and click on the Next Button. The installer will ask to configure Start Menu as shown in Fig 4.

Configure Start Menu
Fig 4

Now click on the Next Button to continue with the installation. The next screen provides additional configuration options as shown in Fig 5.

Additional Configuration Options
Fig 5

Click on the Next Button after choosing appropriate options. The next screen shows the configurations selected by us in the previous screens.

Installation Configurations
Fig 6

Click on the Install Button to start the installation. The installer will show installation progress and success as shown in Fig 7 and Fig 8 respectively.

Installation Progress
Fig 7

Installed Visual Studio Code
Fig 8

This is how we can install the Visual Studio Code. After completing the installation, the installer will launch Visual Studio Code and shows the Welcome Screen as shown in Fig 9.

Welcome Screen
Fig 9

The Customize on the right-hand side shows that support for JavaScript is installed by default and it shows options to install support for other languages and tools.

Step 3 - Marketplace

You can see all the available plugins on the Marketplace dedicated to Visual Studio Code. Type Python in the search box and click on the Search Button. The results should be similar to one as shown in Fig 10.

Visual Studio Code - Python Marketplace
Fig 10

We can also browse the available extensions within the IDE by clicking on View -> Extensions or press Ctrl + Shift + x. Enter Python on the Search Box and hit Enter Key. It will show the same extensions list within the IDE as we saw on the Marketplace Page as shown in Fig 11.

Python Extensions
Fig 11

Step 4 - Install Extensions

We will install the most important extensions as part of this tutorial. Also, make sure that you are using the most recent version of Python. Your system should have at least Python 3 to use the new features available in Python.

Python and MagicPython are the most important extensions that every Python developer must install for the Visual Studio Code. The other extensions can be installed based on the requirements. Install both the extensions as shown in Fig 12 and Fig 13.

Notes: We can also install the recommended Python Extension Pack including Python, MagicPython, Jinja, and Django**.**

Visual Studio Code - Python Extensions
Fig 12

Visual Studio Code - MagicPython Extensions
Fig 13

Also, install the extension Code Runner to execute the code.

VSCode - Code Runner
Fig - Code Runner

Step 5 - Getting Started with Python - Hello World

In this section, we will create the Hello World i.e. HelloPython project and write and execute the first program using VSCode to start programming with Python development.

Click on File -> Open Folder or press Cntrl + K and Cntrl + O to open the File Chooser to select the project folder. It will open the selected folder as highlighted in Fig 14.

Visual Studio Code - Python Project
Fig 14

Now click on the New File Icon as highlighted in Fig 15.

Visual Studio Code - Add File
Fig 15

Enter the file name as and hit the Enter Key. It will create the Python file as shown in Fig 16.

Notes: It will also ask to install Python Linter extension in case it’s not installed. It’s a must-have extension for Python.

Visual Studio Code - Python File
Fig 16

Update the file and write the first program to print Hello Python as shown in Fig 17.

Visual Studio Code - Hello Python
Fig 17

Now right-click the file and choose the option Run Code. It will open the terminal within the editor, and execute the code as shown in Fig 18 and Fig 19.

Visual Studio Code - Execute Python
Fig 18

Visual Studio Code - Python Output
Fig 19

This is how we can install the Visual Studio Code for Python development. We have also written our first hello world program and executed it within the editor using the Code Runner extension.

#python #vscode #windows

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How to Install VSCode for Python on Windows
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.

#python development services #python development company #python app development #python development #python in web development #python software development

Art  Lind

Art Lind


Python Tricks Every Developer Should Know

Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?

In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.

Let’s get started

Swapping value in Python

Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead

>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName 
>>> print(FirstName, LastName)
('Jordan', 'kalebu')

#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development

Art  Lind

Art Lind


How to Remove all Duplicate Files on your Drive via Python

Today you’re going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates.


In many situations you may find yourself having duplicates files on your disk and but when it comes to tracking and checking them manually it can tedious.

Heres a solution

Instead of tracking throughout your disk to see if there is a duplicate, you can automate the process using coding, by writing a program to recursively track through the disk and remove all the found duplicates and that’s what this article is about.

But How do we do it?

If we were to read the whole file and then compare it to the rest of the files recursively through the given directory it will take a very long time, then how do we do it?

The answer is hashing, with hashing can generate a given string of letters and numbers which act as the identity of a given file and if we find any other file with the same identity we gonna delete it.

There’s a variety of hashing algorithms out there such as

  • md5
  • sha1
  • sha224, sha256, sha384 and sha512

#python-programming #python-tutorials #learn-python #python-project #python3 #python #python-skills #python-tips

How To Compare Tesla and Ford Company By Using Magic Methods in Python

Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc…

You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like init, call, str etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).

Now there are a number of such special methods, which you might have come across too, in Python. We will just be taking an example of a few of them to understand how they work and how we can use them.

1. init

class AnyClass:
    def __init__():
        print("Init called on its own")
obj = AnyClass()

The first example is _init, _and as the name suggests, it is used for initializing objects. Init method is called on its own, ie. whenever an object is created for the class, the init method is called on its own.

The output of the above code will be given below. Note how we did not call the init method and it got invoked as we created an object for class AnyClass.

Init called on its own

2. add

Let’s move to some other example, add gives us the ability to access the built in syntax feature of the character +. Let’s see how,

class AnyClass:
    def __init__(self, var):
        self.some_var = var
    def __add__(self, other_obj):
        print("Calling the add method")
        return self.some_var + other_obj.some_var
obj1 = AnyClass(5)
obj2 = AnyClass(6)
obj1 + obj2

#python3 #python #python-programming #python-web-development #python-tutorials #python-top-story #python-tips #learn-python

Yogi Gurjar


How to Install Laravel 8 on Windows 10 Xampp

How to install laravel 8 on windows 10. In this tutorial, i would love to share with you how to install laravel 8 on windows 10.

How to Install Laravel 8 on Windows 10 Xampp

Installing laravel 8 on windows 10 xampp server step by step:

  1. Step 1 – Prerequisiteto Install Composer On Windows
  2. Step 2 – Server Requirements For Laravel 8
  3. Step 3 – Installing Laravel On Windows 10 Xampp
  4. Step 4 – Start Development Server For Laravel 8

#install laravel on windows xampp #how to install laravel in windows 10 xampp #install xampp on windows 10 laravel installation steps #laravel installation steps #how to run laravel project on localhost xampp