Here Are The Most Useful Built-in Python Functions For Data Science
Last Updated on July 25, 2023 by Editorial Team
Author(s): James Asher
Originally published on Towards AI.
All Functions are equal, but for data science, some are more equal than others
Photo by David Clode on Unsplash
With each version of Python, they introduce more built-in functions. A few you will rarely use, some you will never use, and some can be made up by combining others. Therefore, I have compiled here all of the functions that I feel you will need on a day-to-day basis.
This only includes Pythons built-in functions. It does not include functions that you may find in Pandas or Numpy.
I’ll cut to the chase and run through them in alphabetical order — and how to use them.
Returns the absolute value of a number. The input can be a… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.