Daily Dose of Data Science | Avi Chawla | Substack

Run-Time Optimization

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Switching to a smarter implementation of CPython.

May 20

Always review what a specific implementation is hiding underneath.

May 17

...and here's what happens in reality.

Apr 27

Row-then-column is not the same as Column-then-row.

Apr 22

Addressing limitations of KMeans.

Apr 19

...and what happens if you do.

Mar 30

So the best way to speedup python is by not using python?

Mar 27

A simple tweak to improve iteration run-time over a DataFrame.

Mar 12

The core reason which very few told you about.

Mar 11

KMeans++: KMeans with a smarter centroid initialization approach.

Mar 9

NumPy's methods are already highly optimized for performance. Yer, here's how you can further speed them up. Bottleneck provides a suite of optimized…

Feb 18

Dataframes are often stored in parquet files and read using Pandas' 𝐫𝐞𝐚𝐝_𝐩𝐚𝐫𝐪𝐮𝐞𝐭() method. Rather than using Pandas, which relies on a…

Feb 13

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