Polars vs Pandas: Python's FASTEST DataFrame Library Explained (2025 Benchmark)
Автор: Developyr
Загружено: 2025-08-24
Просмотров: 87
🚀 Is Polars really 10x faster than Pandas? I put both libraries to the test with a massive 1.4M record dataset to show you the real performance differences.
In this tutorial, I compare Polars vs Pandas side-by-side using real-world data operations:
✅ File loading speed tests
✅ Complex multi-table joins
✅ String processing and aggregations
✅ Memory usage comparisons
✅ When to use each library
🔥 What You'll Learn:
Pandas vs Polars syntax differences
Real performance benchmarks with 1.4M records
When to stick with Pandas (honest advice)
⚡ Key Topics Covered:
DataFrame performance comparison
Rust-powered data processing
Large dataset handling
🗂️ Dataset Info:
Using the Ondoriya world simulation dataset (coming soon) - 1.4M+ records across 200 regions with complex political and demographic data.
#Polars #Pandas #Python #DataScience #DataEngineering #Performance #DataFrames #Analytics #Programming #Tutorial
🎯 Perfect for: Data scientists, data engineers, Python developers working with large datasets, anyone interested in high-performance data processing.
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