PySpark Over Pandas: The Obsession of Every Data Scientistby@tusharml
623 reads

PySpark Over Pandas: The Obsession of Every Data Scientist

tldt arrow
Read on Terminal Reader🖨️

Too Long; Didn't Read

Pandas perform operations on a single machine, whereas PySpark performs operations on multiple machines. This makes it 100x times faster** than Pandas for large datasets. Pandas DataFrames are incapable of constructing a scalable application, but PySparks are ideal for developing scalable applications. As Data is increasing, the need for more frameworks like PySpARK is increasing. For small datasets of 10–12 GB, you can prefer Pandas over the same runtime and with less complexity.

Companies Mentioned

Mention Thumbnail
Mention Thumbnail
featured image - PySpark Over Pandas: The Obsession of Every Data Scientist
Tushar Goel HackerNoon profile picture

@tusharml

Tushar Goel

Credibility

react to story with heart
Tushar Goel HackerNoon profile picture
by Tushar Goel @tusharml.Senior Machine Learning Engineer. Love to talk about ML, Astro and Quantum Physics
Read My Stories

RELATED STORIES

L O A D I N G
. . . comments & more!
Hackernoon hq - po box 2206, edwards, colorado 81632, usa