Pandas to Polars translations in a single frame | Data Scientist
#machinelearning #deeplearning #computerscience #artificialintelligence #computervision #ai #python #datascience #datascientist #pandas
Pandas is an essential library in almost all Data Science projects.
But it has many limitations.
For instance, Pandas:
always adheres to single-core computation
offers no lazy execution
creates bulky DataFrames
is slow on large datasets, and many more
Polars is a lightning-fast DataFrame library that addresses these limitations.
It provides two APIs:
Eager: Executed instantly, like Pandas.
Lazy: Executed only when one needs the results.
It is clear that Polars API is extremely similar to Pandas'.
In most cases, the transition will require minimal code updates.
But you get to experience immense speed-ups, which you don't get with Pandas.