This week’s release of Python 3.12 marks a milestone in our efforts to make our work developing and scaling Python for Meta’s use cases more accessible to the broader Python community. Open source at Meta is an important part of how we work and share our learnings with the community.
For several years, we have been sharing our work on Python and CPython through our open source Python runtime, Cinder. We have also been working closely with the Python community to introduce new features and optimizations to improve Python’s performance and to allow third parties to experiment with Python runtime optimization more easily.
For the Python
A workforce of computer researchers at the College of Massachusetts Amherst, led by Emery Berger, not too long ago unveiled a prize-profitable Python profiler termed Scalene. Courses penned with Python are notoriously slow—up to 60,000 periods slower than code created in other programming languages—and Scalene is effective to successfully discover exactly where Python is lagging, letting programmers to troubleshoot and streamline their code for better functionality.
There are a lot of different programming languages—C++, Fortran and Java are some of the much more nicely-known ones—but, in recent years, one language has come to be almost ubiquitous: Python.
“Python is a ‘batteries-included’ language,” suggests Berger, who is a professor of laptop science in the Manning School of Details and Laptop or computer Sciences at UMass Amherst, “and it has become quite well-known in the age of information science and machine studying simply because it is so
