Polars is a lightning-fast DataFrame library that utilizes all available cores on your machine. Polars has two APIs: an eager API and a lazy API.
The eager execution is similar to Pandas, which executes code immediately.
In contrast, the lazy execution defers computations until the collect() method is called. This approach avoids unnecessary computations, making lazy execution potentially more efficient than eager execution.
The code above code shows filter operations on a DataFrame containing 10 million rows. Running polars with lazy execution is 12 times faster than using pandas.
