From the course: Advanced Python: Top Tools for Data Science and Engineering

Unlock this course with a free trial

Join today to access over 24,900 courses taught by industry experts.

Comparing Polars with pandas

Comparing Polars with pandas

From the course: Advanced Python: Top Tools for Data Science and Engineering

Start my 1-month free trial Buy for my team

Comparing Polars with pandas

“

- [Instructor] Pandas and Polars are both popular Python libraries used for data manipulation and analysis, particularly when working with tabular data. However, they have some key differences that make them suitable for different use cases. Pandas has been around for a while, and as a result, it is a more mature tool and has a larger community, so it's easy to find resources and support. Pandas offers a wide range of features and capabilities for data manipulation, including data cleaning, transformation, and analysis. Pandas also integrates well with many other popular Python libraries, making it a central tool in the data science ecosystem. It also has a flexible and expressive API that allows you to perform complex data manipulations in a variety of ways. Now, Pandas does have a few drawbacks. It can be slow when working with large data sets compared to Polars, especially for very complex operations. Pandas can also be memory intensive, especially when dealing with large data…

Contents