The article, Analyzing Data 180,000x Faster with Rust, first presents some unoptimized Python code, and then shows the process of rewriting and optimizing the code in Rust, resulting in a 180,000x speed-up. The author notes:
If you’ve been keeping up with the advances in Python dataframes in the past year, you couldn’t help hearing about Polars, the powerful dataframe library designed for working with large datasets.
Mit Pandas können Sie Daten(tabellen) direkt in Python laden, verändern, zusammenführen und sogar visualisieren. Unser Tutorial zeigt Ihnen, wie das funktioniert.
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Source Code for 'Deep Neuro-Fuzzy Systems with Python' by Himanshu Singh and Yunis Ahmad Lone - GitHub - Apress/deep-neuro-fuzzy-systems-w-python: Source Code for 'Deep Neuro-Fuzzy Systems with Python' by Himanshu Singh and Yunis Ahmad Lone
E. Berger, S. Stern, and J. Pizzorno. 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI 23), Boston, MA, USENIX Association, (July 2023)