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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 ...
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.
"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 ...
The default edition of Python comes without third-party libraries, and the larger and more complex ones—especially the data science and machine learning packages—can be tricky to install and ...
The company, which promises to solve usability challenges with data science tools at scale ... Lee developed Lux – a widely-used Python library for accelerating and simplifying the process ...
Python was not built specifically for data science workloads, but it does include many features that make it easy to code against data science workloads such as read-eval-print loops, notebooks and ...
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 ...
We will be training researchers in digital research tools for data analysis ... and climate science. There's been a lot of buzz in the past couple of years around a Python library called Pandas.
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