The Overlooked Power of the Python Code Block in Simulink
- Atul Abraham
- Aug 30
- 1 min read
Updated: Aug 31
Everyone is talking about the new dark mode in MATLAB R2025a but while that grabbed attention, some truly powerful features quietly slipped under the radar. One of the most exciting is the Python Code Block in Simulink.
As someone who has spent a lot of time with OpenCV and NumPy in Python, I always felt limited when trying to bring that work into Simulink. Before, it required awkward workarounds or full rewrites of my algorithms in MATLAB. Now, with the Python Code Block, the possibilities are endless.
What It Brings
Native Python inside Simulink: Drop Python code directly into your models.
Clean lifecycle: code for Initialization and cleanup are clearly separated.
Typed interfaces: Define input/output ports and parameters explicitly for clarity.
Why It’s Useful
Reuse existing Python code (no need to reimplement).
Access the Python ecosystem—NumPy, SciPy, Pandas, OpenCV, custom scripts.
Faster prototyping by combining Python algorithms with Simulink’s simulation power.
Maintain cleaner models with structured integration.
Final Thoughts
The Python Code Block is more than a new block - it’s a bridge. It finally connects Python’s vast ecosystem with Simulink’s modeling and simulation power. For those of us with Python-heavy workflows, this is a real game changer.
Forget dark mode - the real headline feature in R2025a might just be the Python Code Block.
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