The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

点击上方“Deephub Imba”,关注公众号,好文章不错过 !做数据处理的都知道，一个 NaN 就能让整个数据清洗流程崩盘。过滤条件失效、join 结果错乱、列类型莫名其妙变成 object——这些坑踩过的人应该都有所体会。而Pandas 引入的可空数据类型（nullable ...

Pandas works best for small or medium datasets with standard Python libraries. Polars excels at large data with multi-core processing and lower memory use. Combining both tools can maximize speed, ...