Install Python Plugin for IntelliJ IDEA
IntelliJ doesn’t support Python by default, so you’ll need to install a plugin first.
Steps
- Launch IntelliJ IDEA
- Go to File > Settings (or Ctrl+Alt+S)
- Select Plugins from the left menu
- In the Marketplace tab, search for “Python”
- Install Python Community Edition or similar
- Restart IntelliJ after installation
Configure Python SDK (Interpreter)
You need to specify a Python runtime environment (SDK) so your project can use Python correctly.
Steps
- When creating a new project, select Python from the left side of the New Project dialog
- Specify your Python interpreter in Project SDK
- If you can’t specify one yet, click “Add Interpreter”
- Select a locally installed Python
- Example:
/usr/bin/python3
(Mac/Linux) orC:\Python310\python.exe
(Windows)
- Example:
Tip
You can also create a virtual environment (venv) here. This is recommended if you want to isolate dependencies for each project!
Create a Python File
Let’s create a file to write your Python script.
Steps
- Right-click in your project → New > Python File
- Enter a filename (e.g.,
main.py
) - Write your Python code!
Run Python Code
Time to run your program!
Execution Methods
- Right-click on the file → Run ‘filename’
- Or click the green ▶ button in the code
The execution results will be displayed in the “Run” tab at the bottom of the screen.
Optional Enhancements for Better Experience
- Code completion (IntelliSense) is automatically enabled
- Debugger is also available! (Place breakpoints and step through execution)
- Built-in Terminal, so you can quickly use pip commands and more
If you want to further enhance your programming efficiency, check out our Practical Guide to Google Gemini Code Assist! It provides detailed explanations about AI-powered code development support tools.
Summary
Step | Description |
---|---|
① Install Python Plugin | Add Python support to IntelliJ |
② Configure SDK | Specify Python environment to use |
③ Create File | Write code in .py files |
④ Run | Run button or right-click execution |
Personal Insights
Differences from PyCharm
By adding plugins to IntelliJ, you can develop in Python at almost the same level as PyCharm. However, if you need advanced professional features (like profilers), PyCharm Professional Edition might be more convenient.
Virtual Environments (venv) Recommended!
Creating a virtual environment for each project helps avoid issues with package version conflicts. If you’re interested in development environment setup, you might find our article on How to Reinstall WSL2 (Windows Subsystem for Linux 2) helpful!
Benefits of Standardizing on IntelliJ
If you want to work with Java, Kotlin, web technologies, and Python together, managing everything in IntelliJ is super convenient!
For More Efficient Development
If you’re interested in setting up an efficient development environment, also check out our Complete Guide to GitHub MCP Server! It contains the latest information to help improve your development workflow.
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