5 Python Libraries You Didn’t Know They ExistBoost your Workflow with these Python LibrariesPublished inTop Python Libraries·3 min read·Just now--Image from PythonPython developers commonly recognize NumPy, Pandas, and TensorFlow but unidentified sophisticated libraries from their ecosystem can deeply optimize workflow. This article unveils five emerging Python tools that serve to enhance your Python project development and execution.1. PolarsThe Pandas library functions as the primary solution for data manipulation work.Researchers find Polars as a solid replacement when dealing with big datasets while pursuing improved performance levels. The Rust-based platform Polars delivers processing speed improvements through parallel execution to serve data-oriented tasks with extreme speed.Key Features:Performance: Because of its optimized execution engine Polars demonstrates superior performance than Pandas when executing certain tasks through speed improvements ranging from 10 to 100 times.Memory Efficiency: The memory efficiency design of Polars enables it to manage datasets that exceed memory capacity.In data analysis projects with large datasets needing quick execution, Polars delivers unparalleled performance benefits.