5 Tips to Enhance Python Program Speed

Use PyPy instead of CPython: PyPy is an alternative implementation of Python that uses just-in-time (JIT) compilation to speed up code execution.

Use NumPy arrays instead of lists: NumPy is a popular library that provides high-performance multidimensional arrays and mathematical operations for Python.

Use generator expressions instead of list comprehensions: Generator expressions are like list comprehensions, but they create iterators instead of lists.

Use the built-in timeit: The timeit module is a standard library module that provides a simple way to measure the execution time of small code snippets.

Use multiprocessing to take advantage of multiple cores: Multiprocessing is a standard library module that allows you to run multiple processes.

Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp _____________ Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here. Read More Stories