Lesson Learned #510: Using CProfiler to Analyze Python Call Performance in Support Scenarios
Last week, while working on a support case, our customer was facing performance issues in their Python application. After some investigation, I decided to suggest CProfiler to identify which function call was taking the most time and use that as a starting point for troubleshooting. So profiling the Python code became essential to pinpoint the bottleneck. I suggested using CProfiler, a built-in Python module, which helps you profile your code and identify performance issues in real time.
