I really like this "curated list of awesome resources for practicing data science using Python", which is organized into categories like "Big Data", "Extraction", "Visualization", and others.
Here, as an excerpt, is the curated list of "core" Python tools for DS:
seaborn - Python data visualization library based on matplotlib.
pandas_summary - Basic statistics using
DataFrameSummary(df).summary()
.
janitor - Clean messy column names.
Full list:
https://github.com/r0f1/datascience------------------------------
Ian Oeschger
Software Developer and Architect for IBM Community
IBM
910-742-4504
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Original Message:
Sent: Fri February 22, 2019 05:57 AM
From: rajesh kumar
Subject: what are the main library used in data science
what are the main library used in data science
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rajesh kumar
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#GlobalAIandDataScience
#GlobalDataScience