🚀 Introduction
Power Automate Desktop (PAD) is a powerful RPA tool that enables seamless automation across applications. While PAD provides a built-in “Run Python Script” action, many developers encounter challenges when trying to use it in real-world scenarios.
In this blog, we’ll explore:
- Limitations of the native Python integration
- Common workarounds
- A cleaner approach to execute Python dynamically without storing .py files
⚠️ Limitations of the Built-in Python Action
Power Automate Desktop currently supports running Python scripts using the Run Python Script action. However, it comes with a major constraint:
✅ It supports only Python 2.7 and Python 3.4
This becomes a blocker because:
- Modern libraries require Python 3.7+
- Latest features (like f-strings, advanced libraries, etc.) are not supported
- Incompatibility with AI/ML, APIs, and newer frameworks
🔄 Common Workaround: Using PowerShell
To overcome this limitation, developers typically use the Run PowerShell Script action to invoke Python externally.
Example:PowerShell Steps in PAD: - Save your Python script (.py) in a folder
- Add Run PowerShell Script action
- Use the above command
- Ensure Python is installed and added to PATH
❌ Problems with This Approach
While this workaround works, it introduces new challenges:
- Dependency on external .py files
- Need to manage file paths in config
- Harder to maintain and deploy
- Cannot directly write Python inline (like VBScript in PAD)
✅ Better Solution: Run Python Without Saving .py Files
Here’s an improved and flexible approach:
👉 Dynamically generate and execute Python code without manually creating script files.
💡 PowerShell-Based Inline Python Execution
Example:
👉 You need to use one important line at the beginning and a closing block at the end.🟡 Starting Line (Important)$pythonCode = @"🟡 This line starts the multi-line Python code block inside PowerShell
🧠 Your Python Code (Inside Block)
PowerShell
print("Hello Vishnu")
print(5 * 5)
🟢 Ending Block (Execution Part)
"@
$tempFile = "$env:TEMP\script.py"
$pythonCode | Out-File -FilePath $tempFile
python $tempFile
🟢 This block closes the Python code, writes it to a temporary file, and executes it
🔍 Summary of Highlighted Parts- 🟡 Start: $pythonCode = @" → Begins Python script block
- 🟢 End: `"@ + execution steps → Saves + runs the script**
✅ Full Combined Example
🔍 How It Works
This solution follows a simple flow:
Store Python code → Create temp file → Write code → Execute via Python
Why is this needed?
- PowerShell cannot execute Python code directly from a string
- So we:
- ✅ Convert it into a .py file (temporarily)
- ✅ Execute it using Python runtime
🎯 Why This Approach Works Best in PAD
This method solves key limitations:
- No need to maintain external .py files
- Allows inline Python coding inside PAD
- Keeps automation workflows clean and portable
✅ Advantages
This technique offers several benefits:
- ✔ Pass variables directly from PAD to Python
- ✔ Supports clean, multi-line Python code
- ✔ Avoids escaping special characters
- ✔ Easy integration with Power Automate Desktop
- ✔ Enables dynamic script generation
- ✔ Works with complex logic (loops, functions, libraries)
- ✔ Keeps scripts temporary (stored in temp folder)
- ✔ Simplifies debugging (temp file can be inspected)
- ✔ No advanced setup required (just Python + PowerShell)
- ✔ Reusable across different automation workflows
- ✔ Clear separation of concerns:
- PowerShell → Execution
- Python → Logic
🧩 real-world use cases
This approach is especially useful when:
- Calling APIs using Python
- Performing data transformations
- Running ML/AI scripts
- Automating file processing tasks
- Integrating Python logic into enterprise workflows
🏁 Conclusion
While Power Automate Desktop provides native Python support, its version limitations make it less practical for modern development.
By leveraging PowerShell with dynamic Python execution, you gain:
- Flexibility
- Maintainability
- Compatibility with latest Python versions
This approach empowers you to use Python effectively within PAD without the overhead of managing external script files.
✅ Pro Tip:
You can further enhance this by passing PAD variables dynamically into $pythonCode for fully dynamic automation.
