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.

Basic Libraries for Data Science These are the basic libraries that transform Python from a general purpose programming language into a powerful and robust tool for data analysis and visualization.

Libraries are collections of shared code. They're common in Python, where they're also called "modules," but they're also ...

Python and many of its popular data science and machine learning packages/libraries, such as NumPy and TensorFlow, are open source projects.

Python is the most popular programming language, outranking C and C++. Enterprises are using Python for HPC with the help of Intel Performance Libraries.

In addition to supporting Python, the company is supporting things like the Juypter data science notebook, the Streamlit framework, and the Bokeh visualization library, Bajuk says.

Overview Beginner-friendly books simplify Python, R, statistics, and machine learning concepts.Practical examples and ...

But Continuum Analytics in Austin, Texas, have released Anaconda, a free package that bundles together around 200 of the most popular Python libraries for science, maths, engineering and data ...

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.