If you have started learning Python, you will eventually come across Visual Studio Code, commonly called VS Code.
VS Code is a popular code editor that can be used to write Python programs and work on larger programming projects. It provides features that make writing, editing, and managing code easier.
In this article, we will understand what VS Code is, why it is useful for Python programming, how to prepare it for Python, and how to create and run your first Python program.
What Is VS Code?
Visual Studio Code (VS Code) is a source-code editor developed by Microsoft.
It can be used with many programming languages, including:
Python
Java
C
C++
JavaScript
HTML
CSS
SQL
For Python programming, VS Code can provide features such as code editing, syntax highlighting, debugging, and extensions.
In simple words:
VS Code is a powerful code editor that can be configured for Python development.
Why Do Python Programmers Use VS Code?
Writing programs in a simple text editor is possible, but it becomes difficult when projects become larger.
VS Code provides several useful features in one environment.
For example, it can help you:
Write Python programs
Organize project files
Highlight Python syntax
Find mistakes in code
Run programs
Debug programs
Install extensions
Work with different programming languages
Manage larger projects
This makes VS Code useful not only for beginners but also for developers working on larger projects.
VS Code and Python Are Different
A common beginner mistake is to think that VS Code is Python.
They are different.
Python
Python is a programming language.
Example:
print("Hello Python")VS Code
VS Code is a code editor where you can write and manage Python code.
A simple way to understand the relationship is:
Python
↓
Programming Language
VS Code
↓
Code Editor
Python Interpreter
↓
Executes Python CodeTherefore, installing VS Code does not replace Python itself. You normally need a Python installation and an appropriate Python environment to execute Python programs.
VS Code Interface
When you open VS Code, you will find several important areas.
The exact interface can change between versions, but the main concepts include:
1. Activity Bar
The Activity Bar provides access to different areas of VS Code.
For example:
Explorer
Search
Source Control
Run and Debug
Extensions
2. Explorer
The Explorer allows you to view files and folders in your project.
For example:
PythonProject
│
├── hello.py
├── calculator.py
└── student.pyThis becomes especially useful when your project contains many files.
3. Editor
The main editor area is where you write your code.
For example:
name = "Python"
print("Hello", name)4. Terminal
VS Code provides an integrated terminal where you can execute commands.
For example:
python hello.pyThe exact command can depend on your operating system and Python installation.
5. Extensions
Extensions add additional functionality to VS Code.
For Python programming, a Python extension can provide useful development features.
What Is a VS Code Extension?
An extension is an add-on that adds functionality to VS Code.
VS Code supports extensions for many programming languages and development tools.
For Python programming, installing a suitable Python extension can provide additional Python-related features.
This is important because VS Code itself is a general-purpose editor rather than a Python-only environment.
Python Extension in VS Code
For Python development, you can search for a Python extension from the Extensions section of VS Code.
The extension can provide Python-related development features such as:
Python code support
Code completion
Debugging support
Code navigation
Python environment selection
Running Python files
The exact features available can depend on the installed extension and configuration.
How to Prepare VS Code for Python
Before running Python programs in VS Code, make sure Python is installed on your computer.
You can check Python from a terminal.
Try:
python --versionOn some systems, you may use:
python3 --versionIf Python is installed, you should see a version number.
For example:
Python 3.x.xThe exact version number will depend on the Python installation on your computer.
Creating Your First Python File in VS Code
Let's create a simple Python program.
Step 1: Open VS Code
Start Visual Studio Code.
Step 2: Create or Open a Folder
Create a folder for your Python programs.
For example:
PythonProgramsOpen this folder in VS Code.
Keeping your programs inside a project folder makes them easier to organize.
Step 3: Create a Python File
Create a new file and name it:
hello.pyThe .py extension indicates that the file contains Python source code.
Step 4: Write Python Code
Enter:
print("Hello, Python!")Step 5: Save the File
Save the file.
Your project may now look like:
PythonPrograms
│
└── hello.pyRunning a Python Program in VS Code
There are different ways to run a Python program.
One common method is through the integrated terminal.
Open the terminal and execute:
python hello.pyThe output should be:
Hello, Python!Depending on your system, you may need to use:
python3 hello.pyRunning Python Using the VS Code Interface
After configuring Python support, VS Code can also provide options for running Python files through its interface.
For example, you may see a Run Python File option when a Python file is open.
When you run the program, the output is displayed through the configured execution environment.
Example: Addition Program
Let's write a simple Python program in VS Code.
a = 20
b = 30
sum = a + b
print("Sum =", sum)Output:
Sum = 50This program demonstrates:
Variables
Arithmetic operators
Assignment
Output
Example: Taking User Input
You can also create programs that accept input from the user.
name = input("Enter your name: ")
print("Hello", name)If the user enters:
Shivamthe output will be:
Hello ShivamSyntax Highlighting in VS Code
One useful feature of modern code editors is syntax highlighting.
Different parts of your program can be displayed differently to make the code easier to read.
Consider:
name = "Python"
if name == "Python":
print("Learning Python")Keywords, strings, and other code elements can be visually distinguished.
This makes large programs easier to understand.
Code Completion
VS Code can provide suggestions while you type.
For example, when writing Python code, the editor may suggest available functions, variables, or other code elements.
This is often called code completion or IntelliSense.
It can help you write code more efficiently and discover available programming features.
However, beginners should still understand what the suggested code does instead of blindly accepting suggestions.
Debugging in VS Code
Debugging means finding and fixing problems in a program.
VS Code provides debugging features that allow you to inspect your program while it is running.
For example, you can use a breakpoint to pause program execution at a particular line.
Consider:
a = 10
b = 20
sum = a + b
print(sum)A breakpoint can be placed on a line to inspect what is happening during execution.
Debugging becomes particularly useful as programs become larger and more complicated.
The Integrated Terminal
One of the useful features of VS Code is its integrated terminal.
Instead of opening a separate command-line window, you can use the terminal inside VS Code.
For example:
python hello.pyYou can also use the terminal for other development commands.
This allows the editor and command-line tools to be used together.
Organizing Python Projects
Suppose you are creating several Python programs.
Instead of keeping everything in one location, you can organize your files into folders.
For example:
PythonLearning
│
├── Basics
│ ├── variables.py
│ ├── input.py
│ └── operators.py
│
├── Conditions
│ ├── if.py
│ └── grading.py
│
└── Loops
├── for_loop.py
└── while_loop.pyThis type of organization becomes increasingly important when you start working on larger projects.
VS Code for Python Beginners
If you are just starting Python, do not worry about learning every feature of VS Code.
Initially, focus on:
Creating a Python file
Writing Python code
Saving the file
Running the program
Reading the output
Understanding errors
Using the terminal
Learning how extensions work
Once you become comfortable with these basics, you can explore more advanced features.
IDLE vs VS Code
You have already learned about IDLE.
Let's compare the two.
| IDLE | VS Code |
|---|---|
| Python-focused learning environment | General-purpose code editor |
| Simple interface | More extensive interface |
| Easy for basic Python practice | Useful for larger projects |
| Provides Python Shell | Provides integrated terminal |
| Limited customization | Highly customizable |
| Suitable for beginners | Suitable from beginner to advanced development |
Both can be useful. The choice depends on your learning stage and project requirements.
Python Interpreter vs VS Code
Another important distinction is between the Python interpreter and VS Code.
Python Interpreter
The interpreter executes Python code.
VS Code
VS Code provides an environment for writing, editing, organizing, and debugging code.
So the relationship can be represented as:
You
↓
Write Python Code
↓
VS Code
↓
Python Interpreter
↓
Program Execution
↓
OutputCommon Beginner Problems
1. Python command is not recognized
If the terminal does not recognize:
pythoncheck whether Python is installed and whether it has been correctly configured in your system.
2. Wrong Python interpreter selected
VS Code may have access to multiple Python installations or environments.
Make sure the appropriate Python interpreter is selected for your project.
3. File is not saved as .py
Make sure your Python file has a .py extension.
Correct:
program.pyNot:
program.txt4. Syntax errors
If Python reports a syntax error, carefully check:
Parentheses
Quotes
Colons
Indentation
Spelling
Missing or extra characters
For example:
print("Hello"has a missing closing parenthesis.
Correct:
print("Hello")A Small Practice Program
Create a file called:
student.pyThen write:
name = input("Enter your name: ")
marks = int(input("Enter your marks: "))
print()
print("Student Details")
print("Name:", name)
print("Marks:", marks)Try running it from VS Code.
For example:
Enter your name: Shivam
Enter your marks: 85
Student Details
Name: Shivam
Marks: 85This simple exercise gives you practice with:
Variables
input()Type conversion
print()Python files
Running a program
Important Things to Remember
Before moving forward, remember these points:
Python is the programming language.
Python Interpreter executes Python code.
IDLE is a Python-oriented learning and development environment.
VS Code is a general-purpose source-code editor that can be configured for Python development.
Python Extension adds Python-related functionality to VS Code.
Terminal allows you to execute commands and run programs.
Understanding these differences will prevent a lot of confusion when you begin working on Python projects.
Frequently Asked Questions
Is VS Code Python?
No. VS Code is a source-code editor. Python is a programming language.
Can I run Python in VS Code?
Yes. After Python is installed and the appropriate Python environment is configured, you can run Python programs from VS Code.
Do I need Python if I install VS Code?
Yes. VS Code is an editor; it does not itself replace the Python interpreter.
What is a Python extension?
A Python extension is an add-on that provides Python-related development features in VS Code.
Is VS Code suitable for beginners?
Yes. Beginners can use VS Code for Python, although its many features may take some time to learn.
Can VS Code be used for languages other than Python?
Yes. VS Code supports development with many programming languages and technologies.
Key Takeaways
In this article, we learned:
What VS Code is
Why VS Code is used for programming
The difference between Python and VS Code
The main parts of the VS Code interface
What extensions are
Why a Python extension can be useful
How to create a
.pyfileHow to run a Python program
How to use the integrated terminal
Basic debugging concepts
The difference between IDLE and VS Code
The difference between VS Code and the Python interpreter
VS Code is a useful tool to know as you progress from small Python exercises to larger projects.
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