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 ... the more specialized tools are built on.

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

Type hints allow linting tools ... data analysis has become one of the fastest-moving areas of IT and one of Python’s star use cases. The vast majority of libraries used for data science or ...

Other major applications of Python include DevOps and system administration (39%), programming web tools like crawlers ... while the leading data-science frameworks and libraries are NumPy ...

Anaconda provides a handy GUI, a slew of work environments, and tools to simplify the process of using Python ... user-interface library. But everything you might need for data science is an ...

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 ...

More generally, Haskell excels at abstraction, and data science benefits ... the best set of tools for managing this complexity. Haskell hasn’t been perfect (apart from libraries, we also ...