Скачать или смотреть Profiling Performance with Timeit and Memory Usage

Profiling the performance of your CSV reading operations is essential for identifying bottlenecks and optimizing efficiency. The 'timeit' module in Python is a valuable tool for measuring the execution time of your code, allowing you to pinpoint slow operations. By wrapping your read_csv function with timeit, you can determine the precise time taken to read your dataset, helping you make informed decisions about potential optimizations. Additionally, assessing memory usage is crucial for understanding the impact of your data processing on system resources. Tools like memory_profiler can provide insights into memory consumption, highlighting areas where you can implement improvements. By profiling both time and memory usage, you can ensure that your data processing pipeline is as efficient as possible, maximizing performance and minimizing resource consumption.