Have you had experience applying methods to improve system efficiency?

Yes, experience in applying methods to improve the efficiency of systems in Python includes:

• Optimization of algorithms and data structures to reduce execution time.
• Using profilers (cProfile, line_profiler) to identify bottlenecks.
• Parallelization and asynchronous programming (multiprocessing, asyncio) to enhance performance.
• Caching results with functools.lru_cache or external systems.
• Using generators and lazy evaluations to save memory.

For example, to speed up calculations, you can replace a regular loop with a generator:

# Regular list
squares = [x*x for x in range(1000000)]

# Generator, saves memory
squares_gen = (x*x for x in range(1000000))

I also used tools for automating testing and building, which improved the quality and speed of development.