Python IDEs

  • Python can be written and executed in many different development environments, known as IDEs (Integrated Development Environments) and code editors. Each IDE offers unique features such as code suggestions, debugging tools, project management, and extensions that help developers write efficient and error-free Python programs


  • Where Do We Write Python Code?

    Python programs can be written in:

    1.Text editors

    2.Code editors (VS Code, Sublime etc.)

    3.IDEs (Integrated Development Environments)

    4.Python’s built-in IDLE

    5.Online editors and notebooks (Optional)


  • 1.Using Python IDLE (Comes with Python)

    What is IDLE?              

    • IDLE stands for Integrated Development and Learning Environment

    • It is installed automatically when you install Python

    • Great for beginners

    Features

    • Runs Python scripts

    • Syntax highlighting

    • Simple editor & console

    • No setup required


    How to Open IDLE

    Windows:

    • Search “IDLE” from Start Menu

    • Open IDLE (Python 3.x)

    macOS:

    • Search in Applications

    • Open IDLE


  • Writing Python Code Using IDLE (Beginner Friendly)

    Step 1: Open IDLE

    • Click on the Start Menu

    • Search for and select IDLE (Python 3.x)

    Step 2: Create a New Python File

    • In the IDLE window, click File → New File

    • A new editor window will open

    Step 3: Write Your Python Code

    • Type the following code in the editor:


print("Hello Python")
  • Step 4: Save the File

    • Click File → Save

    • Enter the file name as test.py

    • Choose a location on your computer and click Save

    Step 5: Run the Program

    • Press F5 on the keyboard

    • The output will be displayed in the Python Shell

  • 2.Writing Python Code in VS Code 

    What is VS Code?

    VS Code (Visual Studio Code) is a powerful and free source-code editor created by Microsoft.

    Why VS Code?

    • Easy to use

    • Works for small & large projects

    • Python extension available

    • Auto-completion, debugging, linting, etc.

    Steps to Install & Set Up Python in VS Code

    Step 1: Install Visual Studio Code

    • Download VS Code from the official website

    • Install it by following the on-screen instructions

    Step 2: Install the Python Extension

    • Open VS Code

    • Click on the Extensions icon from the left sidebar

    • Search for Python

    • Install the Python extension by Microsoft

    Step 3: Create a Python File

    • Create a new folder for your project

    • Open that folder in VS Code

    • Create a new file named hello.py

    • Add the following code:

print("Hello from VS Code!")
  • Step 4: Run the Program

    • Open the Terminal in VS Code
      (View → Terminal)

    • Run the command:

python hello.py
    • Or click the Run ▶ button at the top to execute the program

    Extra Features

    • Code formatting

    • Error highlighting

    • Git integration

    • Virtual environment support

  • Step 4: Run the Program

    • Open the Terminal in VS Code
      (View → Terminal)

    • Run the command:


  • 3.Using PyCharm (Professional Python IDE)

    What is PyCharm?

    • A professional IDE developed by JetBrains.

    • Used by software developers for large Python applications.

    Why Use PyCharm?

    • Best for large projects

    • Intelligent code suggestions

    • Built-in debugging

    • Project structure management

    Steps to Use PyCharm

    • Download and install PyCharm from the official website

    • Open PyCharm and create a new project

    • Set up a virtual environment (auto-configured by PyCharm)

    • Create a Python file with the .py extension

    • Write your code and run it within the IDE

    • Best suited for professional development, industry-level projects, and large-scale applications


  • 4.Writing Python Code in a Simple Text Editor (Notepad / Notepad++)

    How It Works

    • Open Notepad (on Windows) or any basic text editor like Notepad++

    • Write your Python code in the editor

    • Save the file with a .py extension (for example: program.py)

    • Open Command Prompt / Terminal

    • Run the program using the command:

      python program.py



  • Why use simple text editors?

    • Teaches how programs work without help from tools

    • Good for beginners learning fundamentals

    Limitations

    • No debugging

    • No syntax highlights

    • No auto-complete

    So recommended only for basic learning.

    Examples

    • Google Colab

    • Jupyter Notebook

    • Replit

    • Programiz

    • OnlineGDB

    • GitHub Codespace

    Why use them?

    • No installation required

    • Just open browser and start coding

    • Great for learning, data science, ML

    Example: Jupyter Notebook (Data Science)

  • Which Editor Should Students Use?

    Editor

    Best For

    IDLE

    Complete beginners

    VS Code

    Most recommended for learning & real projects

    PyCharm

    Professional development

    Jupyter

    Data science and analytics

    Online editors

    Quick practice without installation

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  • Writing Python Code – Editors and IDEs

    To write and execute Python programs, you need a code editor or an IDE (Integrated Development Environment).
    A code editor is used to write Python code, while an IDE offers extra features such as debugging, auto-completion, error checking, and project management.

    Python supports coding in multiple environments, depending on your needs:

    IDLE (Integrated Development and Learning Environment)

    • Comes bundled with the Python installation

    • Simple interface with a built-in Python shell

    • Ideal for beginners learning Python step by step

    VS Code (Visual Studio Code)

    • Free and powerful source-code editor

    • Supports Python using official extensions

    • Offers syntax highlighting, auto-completion, debugging, and an integrated terminal

    • Suitable for both beginners and professional developers


    PyCharm

    • A full-featured professional Python IDE

    • Commonly used for large and complex projects

    • Includes advanced tools like testing support, version control, and intelligent code suggestions

    Simple Text Editors (Notepad, Notepad++, Gedit, etc.)

    • Allow writing Python code without advanced features

    • Helpful for understanding basics

    • Less efficient for real-world development

    Online Editors (Google Colab, Replit, Jupyter Notebooks)

    • No installation required

    • Run Python code directly in a web browser

    • Widely used for data science, practice, and online learning