Quick Fix: To rectify the issue where your code runs slower after the MacOS 14.0 (Sonoma) update, try installing Python 3.12.0. This seems to resolve the issue for many users who experienced the same problem after the update.
The Problem:
After updating to macOS 14.0 (Sonoma), my Python code, utilizing packages like PySimpleGUI, NumPy, and Pandas, has become significantly slower. The PySimpleGUI buttons are not registering clicks, and the terminal displays a message about applying a patch for macOS 14.0. Is this behavior expected after the macOS update, or is there an underlying issue causing the slowdown and button malfunction?
The Solutions:
Solution 1: Updating Python Version to 3.12.0
Identify the Issue:
The user’s code slowed down and buttons stopped registering clicks after updating to macOS Sonoma (14.0).
Upon launching the GUI, the terminal displays the message: "Mac OS Version is 14.0 and patch enabled, so applying the patch."
Root Cause:
The issue appears to be related to compatibility between the existing Python version (3.9.6) and macOS Sonoma.
Solution:
Update Python to version 3.12.0.
After updating to Python 3.12.0, the buttons started working correctly, and the overall code performance improved.
Additional Information:
The issue was also observed when using newer versions of Python 3.9 and Python 3.10. However, Python 3.12.0 seems to resolve the problem.
It is important to ensure compatibility between the Python version and the operating system version to avoid potential issues.
Solution 2: Try Profiling and Compare
Identifying the root cause of performance degradation after a macOS update can be challenging. It is not standard for new macOS updates to cause significant slowdowns, but it is possible that certain libraries or applications may not be optimized for the new version.
To tackle this issue, consider the following:
Profiling: Run a profiling tool, such as "Instruments" or "PyCharm’s built-in profiler," to identify which part of your code is consuming the most time. This can help pinpoint the source of the slowdown.
A/B Comparison: If possible, set up an A/B testing environment where you can compare the performance of your code before and after the macOS update. This can help confirm whether the update is indeed causing the slowdown.
Update Libraries: Check if there are newer versions of the libraries you are using. Newer versions may have optimizations or bug fixes that could improve performance.
Contact Library Developers: If you suspect that a specific library is causing the slowdown, reach out to the library developers to inquire about any known issues or potential solutions related to macOS 14.0 (Sonoma).
Consider Alternative Implementations: If you are utilizing a specific library or algorithm that is experiencing performance issues, explore alternative implementations or approaches that may be better suited for macOS 14.0.
Q&A
Is the slowed down code after the macOS Sonoma update standard?
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It’s not standard, but likely due to compatibility issues with the new macOS version.
What is the recommended course of action to resolve the issue?
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Profile the code to identify the source of the performance degradation.
Is there a specific Python version that is known to work well with macOS Sonoma?
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Python 3.12.0 has been reported to work well with macOS Sonoma.
Video Explanation:
The following video, titled "macOS Sonoma - 17 Settings You NEED to Change Immediately ...", provides additional insights and in-depth exploration related to the topics discussed in this post.
macOS Sonoma - 17 Settings You NEED to Change Immediately! | macOS 14 Sonoma Tips & Tricks Apple just recently released macOS 14 Sonoma and ...
