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.

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

This sponsored post covers how Intel Performance Libraries are working to ramp up python performance. Surprise! Python* is now the most popular programming language, according to IEEE Spectrum’s fifth ...

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

SciPy, Numba, Cython, Dask, Vaex, and Intel SDC all have new versions that aid big data analytics and machine learning projects. If you want to master, or even just use, data analysis, Python is the ...

Since the year 1950, the world has seen the emergence of more than a few programming languages. Be it JAVA, C, C++, Python or C#, every language eas designed to serve a purpose. Over time, people ...

Mozilla’s experimental Pyodide project is bringing a Python data science stack to the web browser, by compiling it to WebAssembly. Pyodide is a WebAssembly implementation of Python’s Numpy scientific ...

The language R is in the midst of a sizzling resurgence this summer. One might hypothesize that this growth is coming at the expense of Python, by far the dominant language for data science. But some ...

What are some use cases for which it would be beneficial to use Haskell, rather than R or Python, in data science? originally appeared on Quora: the place to gain and share knowledge, empowering ...