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.

In this article, we’ll introduce you to some of the libraries that have helped make Python the most popular language for data science in Stack Overflow’s 2016 developer poll. These are the ...

Here are some of the main features of Keras ... PyTorch has many data science applications and can be integrated with other Python libraries, such as NumPy. The library can create computational ...

"Python libraries can be tricky to configure, even for the systems-savvy, while most R packages run right out of the box." PyPI, he notes, "seems thin on data science." Searches on PyPI "turned up ...

By Kaunda ISMAILThis article discusses key tools needed to master, in order to penetrate the data space. Such tools include ...

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. It may seem odd to ...

Even keeping these issues in mind, I believe Haskell has served our project better than any other language I know, regardless of libraries. So would I recommend Haskell for data science?

Forbes contributors publish independent expert analyses and insights. I write about tech & finance. Python is one of the world’s most popular computer languages, with over 8 million developers ...

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 ...