Want faster number-crunching in Python? You can speed up your existing Python code with the Numba JIT, often with only one instruction.

Take advantage of caching and the lru_cache decorator to relieve your Python functions from repetitive heavy lifting.

Syndication 10 simple Python tips to speed up your data analysis October 12, 2020 - 11:39 am Tips and tricks, especially in the programming world, can be very useful.

Guido van Rossum, who created popular programming language Python 30 years ago, has outlined his ambitions to make it twice as fast – addressing a key weakness of Python compared to faster ...

Data queries written in Python, a commonly used programming language, can grind data analytics platforms to a crawl, but a new platform may finally solve the Python efficiency problem.

PyKX 3.0’s hybrid architecture combines the speed and scale of kdb+ with seamless integration to Python’s machine learning (ML) and deep learning libraries, enabling advanced AI-driven ...

Apache Spark 3.0 is now here, and it’s bringing a host of enhancements across its diverse range of capabilities. The headliner is an big bump in performance for the SQL engine and better coverage of ...