Pandas 2.0 is here! This is the biggest overhaul of Pandas since its inception, and it has been years in the making. However, you will probably not notice too many changes, and all your existing Pandas code will most likely run the same as before. All the major changes are under the hood. That's because Pandas has moved away from the way it represents data, from numpy to Apache Arrow. Pandas was originally built on top of numpy, and it was an adequate solution for many tasks. However, three are many limitations of numpy that have only become more obvious over the years. Apache Arrow will significantly help with those pain points, and will speed up many Pandas tasks. I've only played with the new version for a day so far. My limited impression is that it significantly speeds up loading and saving of csv files, and puts the new version of Pandas on par with Polars in that regard. Lookign forward to playing more with it in the weeks and months ahead. Great blog post about what's new in Pandas: datapythonista.me/blog/panda… Release notes: pandas.pydata.org/docs/dev/w… GitHub repo: github.com/pandas-dev/pandas #DataScience #MachineLearning #Data #Python