In data engineering, efficient Python scripts are crucial for processing large data sets. Profiling is a method to improve script performance by analyzing where time or resources are being consumed.

Python's performance profiling ecosystem is built around its standard library's cProfile and profile modules. These profilers are designed to be easy to use and integrate into your codebase.

Beyond cProfile for Python profiling cProfile is hardly the only way to profile a Python application. cProfile is certainly one of the most convenient ways, given that it’s bundled with Python.

Jetfuel is a performance profiler that can monitor the performance of your production Python, and makes results easy to aggregate and search through. Jetfuel is designed for Purposeful Profiling. This ...

Two steps before profiling would be to ensure you're getting the right answers, and through the most efficient approach (make coarse adjustments before the fine-tuning). Then go ahead and profile to ...

Google's Python engineers have launched a new project called Unladen Swallow, which aims to bring a major performance boost to the Python programming language by making runtime speed five times ...