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:

    1️⃣ Text editors

    2️⃣ Code editors (VS Code, Sublime etc.)

    3️⃣ IDEs (Integrated Development Environments)

    4️⃣ Python’s built-in IDLE

    5️⃣ Online editors and notebooks (Optional)

  • 1️⃣ 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

  • 2️⃣ 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 Python")
  • 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

  • 3️⃣ 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

  • 4️⃣ 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?

    EditorBest For
    IDLEComplete beginners
    VS CodeMost recommended for learning & real projects
    PyCharmProfessional development
    JupyterData science and analytics
    Online editorsQuick 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