Posted inProgramming
Optimizing Big Data Processing in Python with Polars: LazyFrame, Streaming, and Zero-Copy
Polars replaces Pandas for large-scale data processing in Python using lazy evaluation, a streaming engine, and Arrow-based zero-copy memory. This guide walks through real-world migration from Pandas to Polars with hands-on code for LazyFrame, streaming Parquet processing, and composable expressions.
