Keeping up is hard for data scientists to do. Chisel Analytics is happy to help!
Title: Pandas Version 1.0 is Out! Top 4 Features Every Data Scientist Should Know
How: Make sure you have the current version of Pandas. If yours is an older version (includes 2.x), please update with
$ pip install --upgrade pandas==1.0.0rc0
Also, "first upgrade to Pandas 0.25 and to ensure your code is working without warnings, before upgrading to pandas 1.0."
When to use this: When you want to: filter and "analyze categorical and text-based features;" do calculations with missing values to generate "null" versus false; present data about the info in your dataframe or markdown tables in a clear fashion; plus more enhancements.
Why it's helpful: Now this widely used library offers: Dedicated DataTypes for strings, New Scalar for Missing Values, Improved Data Information Table, Markdown format for Dataframes.
Suggested application: When sharing information with those not used to working in the datasets or keeping logs for future and quick reference, or running calculations that can incorporate more records by leveraging a "null" value versus "false".
Business impact or insights to be gained: as more real world challenges are faced by data professionals, this open source data analysis/ manipulation tool continues to evolve to provide fast, flexible and expressive data structures for working with relational or labeled data