Pandas 2.0 - How to make your DataFrame manipulations super fast!
Panda’s new update just dropped and with this new update, many new improvements were introduced. JetBrain’s Developer Survey shows that 55% of Python users, use Panda’s library. Therefore, we know that this massive library adoption comes with a potential to give a lot of performance boost to everyone using it. This is exactly the main point of this new 2.0.0 update. Pandas 2.0.0 The main change to Panda’s 2.0.0 that we will be covered in this article is the new backend support for Apache Arrow....