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Never Worry About Optimization. Process GBs of Tabular Data 25x Faster With No-Code Pandas
No more run-time and memory optimization, let’s get straight to work
The code snippets for Pandas are available here.
Motivation
Pandas makes the tasks of analyzing tabular datasets an absolute breeze. The sleek API design offers a wide range of functionalities that covers almost every tabular data use case.
However, it’s only when someone transitions towards scale that they experience the profound limitations of Pandas. I have talked about this before in the blog below:
In a gist, almost all limitations of Pandas arise from its single-core computational framework.
In other words, even if your CPU has multiple cores available (or idle), Pandas always relies on a single core, which inhibits its performance.
Moreover, Pandas DataFrames are inherently bulky. Pandas never optimizes the datatypes of DataFrame’s columns. Thus, if you…
