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.

By mastering data science skills and building a portfolio of real-world projects, you’ll be prepared to analyze, visualize, and gain insights from data. Book now Introduction to R Programming ...

Metaflow manages Python data science projects end-to-end, works with any machine learning library, and integrates with AWS cloud services Netflix has open sourced Metaflow, an internally developed ...

Python feels like the friendly neighbor of programming languages. Its clean, readable code is almost like writing in plain English, so you won’t be scratching your head over weird symbols or confusing ...

Python, Julia, and Rust are three leading languages for data science, but each has different strengths. Here's what you need to know. The most powerful and flexible data science tool is a ...

Python is the most popular "other" programming language among developers using Julia for data-science projects. Written by Liam Tung, Contributing Writer Aug. 26, 2020 at 6:07 a.m. PT ...

Hands-on activities using Python will give students experience with steps of data science project, including simulating, exploring, visualizing, drawing conclusions with statistics, and creating a ...

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.

One of the most persistent challenges is the translation gap between data science and development teams. Data scientists typically build models in Python or R environments, while developers work ...