Python Polars: A Lightning-Fast DataFrame Library
Now that you’ve installed Polars and have a high-level understanding of why it’s so performant, it’s time to dive into some core concepts. In this section, you’ll explore DataFrames, expressions, and contexts with examples. You’ll get a first impression of Polars syntax. If you know other DataFrame libraries, then you’ll notice some similarities but also some differences.
Getting Started With Polars DataFrames
Like most other data processing libraries, the core data structure used in Polars is the DataFrame. A DataFrame is a two-dimensional data structure composed of rows and columns. The columns of a DataFrame are made up of series, which are one-dimensional labeled arrays.
You can create a Polars DataFrame in a few lines of code. In