Mastering Python Pandas in 2027: DataFrames, Series, and High-Performance Techniques
·1639 words·8 mins
In the rapidly evolving landscape of Python data engineering, Pandas remains the undisputed heavyweight champion for data manipulation. While libraries like Polars have introduced Rust-backed concurrency, Pandas has evolved significantly. By 2027, with the maturation of the PyArrow backend, Pandas offers a perfect blend of legacy compatibility and modern performance.
