Discover the latest improvements in Pandas 2.0

New features and improvements to supercharge your data analysis.

Photo by Jason Leung on Unsplash

Have you heard about the latest version of Pandas, 2.0.0, which was released on April 3, 2023?

This latest version brings with it some exciting new features and improvements that will supercharge your data analysis projects. From improved SAS support to expanded functionality of Index with numpy numeric dtypes and more.

TLDR:

• The ability to install only the dependencies you need using pip extras provides greater flexibility in managing dependencies.
• The expanded functionality of Index with numpy numeric dtypes allows for more efficient memory usage and improved interoperability with other data structures.
• The improved SAS support with the updated read_sas() function makes working with SAS data in Pandas much simpler and more reliable.
• The enhanced Copy-on-Write mechanism and other notable changes, such as support for ArrowDtype with string and timestamp data, preservation of nullable dtypes, and support for datetime data types, further enhance the capabilities of Pandas for data analysis tasks.

You can find the full list of changes and updates, including those from previous…