Daily Dose of Data Science | Avi Chawla | Substack

Memory Optimization

Out-of-core learning with sklearn

Apr 24

By default, Pandas always assigns the highest memory datatype to its columns. For instance, an integer-valued column always gets the int64 datatype…

Jan 5

If your data has NaN-valued columns, Pandas provides a datatype specifically for representing them - called the Sparse datatype. This is especially…

Oct 13, 2022

The CSV file format is widely used to save Pandas DataFrames. But are you aware of its limitations? To name a few, 1. The CSV does not store the…

Oct 11, 2022

If you use large static iterables in Python, a list may not be an optimal choice, especially in memory-constrained applications. A list stores the…

Oct 10, 2022

If your data has categorical columns, you should not represent them as int/string data type. Rather, Pandas provides an optimized data type specifically…

Oct 7, 2022

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