2019-06-03, 14:00–14:25, Hall 2 (PyData)
Numpy is used as a data container and its APIs are well-defined. What you might not know about things that have changed lately and what you need to know about changes that are coming
For the past year I have been one of three full-time NumPy contributor paid for by a non-profit organization. We have defined a roadmap, added new interfaces to the package, tightened up some of the APIs, improved performance, and merged a major refactor of the random module.
Why this important, what else is yet to come, and how will this affect you, the end-user.