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Python Polars is Faster than Pandas
- Polars is a high-performance DataFrame library written in Rust that outpaces Pandas by using parallel, memory-safe operations.
- Unlike Pandas, Polars is built with performance and scalability in mind, utilizing parallelism, vectorization, and memory-safe operations without relying on the Python runtime.
- Polars supports both lazy and eager evaluation, with lazy mode optimizing across entire workflows like SQL engines or Spark.
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