Profiling is the process of measuring the space (memory) and time complexity of your Python code. Tools like cProfile and line_profiler help you analyze the performance of your application by ...

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.

This Python project performs complete data analysis including cleaning, visualization, EDA, and statistical testing. It uses pandas, seaborn, matplotlib to handle missing data, detect outliers, ...

Exploratory analysis event data: This notebook gives you an overview over the pre-processed wyscout data and runs rudimentary exploratory analysis using pandas-profiling. Goal kick analysis: In this ...

Learn how to employ profiling data to identify and refactor inefficient sections in your Python code for enhanced performance and optimization. Skip to main content LinkedIn Articles ...