LernerPython+data

Polars

Polars is a new, data-analysis library similar to Pandas but written in Rust and with an empasis on speed and reduced memory usage. In this course, you’ll learn how to perform common data-analysis tasks in Polars, including reading from CSV files, sorting, and grouping.

What you should know

Course Content

Course length

2 hours

Number of lessons

1

Training materials

1 Jupyter notebook

Coding exercises

3

LEARN MORE

Polars is a new, data-analysis library similar to Pandas but written in Rust and with an empasis on speed and reduced memory usage. In this course, you’ll learn how to perform common data-analysis tasks in Polars, including reading from CSV files, sorting, and grouping.

  • How Polars is different
  • How to read data into Polars
  • Selecting rows with df.select
  • Selecting columns df.with_columns
  • df.filter
  • Sorting
  • Grouping
  • Optimizing queries and “lazy frames”

This course, like all others on LernerPython.com, is taught by Reuven Lerner.