What Python libraries and tools are most useful for working in Data Science and Analytics?

Purple, Lighting, Flower, Petal, Plant, Texture, Light, Art, Graphics, Green

What Python libraries and tools are most useful for working in Data Science and Analytics?

Matthew C. asked a question to Steve T.

Hi, I'm curious about data science, and I wanted to know what libraries and tools you use most often, and why they are so useful. I'm trying to get familiar with best practices in Python and would appreciate guidance on what libraries are most effective for different tasks.

View favourites

1 replies
9 views

Author: Matthew C.
Category: General
Date asked: 03 December, 2024 04:50
Last update: 09 March, 2026 12:40

ST
Steve T. Data Science & Analytics Specialist

For me NumPy, SciPy and Pandas are the most frequently used. SckKit-Learn is also quite important. Data Visualization is a great way to share your discoveries (the eye's are the fastest data processors) so Matplotlib and Seaborn. Here is a source of common Data Science libraries. 15 Python Libraries for Data Science You Should Know – Dataquest

08 January, 2025 14:09