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 workflows.

However, Python’s methods for parallelizing operations often require data to be serialized and deserialized between threads or nodes, while Julia’s parallelization is more refined.

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 ...

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.

In contrast, Python follows a multiprogramming paradigm, which makes it easy for developers to write concise code using syntactic sugar. Python was not built specifically for data science workloads, ...

Harnham said that Python was now the top programming language used in data science, "with R falling firmly into second place." The remaining top-five data science technologies were SQL, AWS and Spark.

Python for Data Science Essential Training is one of the most popular data science courses at LinkedIn Learning. This is course 1 of 2.

A new offering from the creator of a Python distribution for data science uses Microsoft Excel as a front end for Jupyter notebooks and other data-centric apps ...

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.