Stefanie Molin's new book, “Hands-On Data Analysis with Pandas" is about using the powerful pandas library to get started with machine learning in Python.

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data ...

Esri, the global leader in location intelligence, has released the Esri Advanced Guide to Python in ArcGIS, a new book for ...

This online data science specialization is designed for learners with little to no programming experience who want to use Python as a tool to play with data. You will learn basic input and output ...

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more.

Netflix's data-science team has open-sourced its Metaflow Python library, a key part of the 'human-centered' machine-learning infrastructure it uses for building and deploying data-science ...

Continuum Analytics, makers of a Python distribution called Anaconda preferred by data science users, has released Anaconda Fusion, a system for connecting the enterprise-grade version of Anaconda ...

What are some use cases for which it would be beneficial to use Haskell, rather than R or Python, in data science? This question was originally answered on Quora by Tikhon Jelvis.

Google’s data science agent does just that: The new, free, Gemini 2.0-powered AI assistant that automates data analysis is now available to users age 18-plus in select countries and languages.