That accessibility may be why Python has been able to grow its rich data science ecosystem so rapidly. Python supports a number of advanced machine learning libraries and frameworks, such as ...

You can also Python for DevOps, system scripting, web development, and data science, Silge said. “You can use it to do almost anything,” she added. SEE: IT Hiring Kit: Programmer (Tech Pro ...

With more than 13 million downloads to date, Anaconda is blossoming into a real phenomenon in a crowded data science field. What made the collection of mostly Python-based tools so popular to data ...

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.

GitHub said, "Python can be used for just about anything, from web and software development to machine learning and artificial intelligence (AI)." Besides being a general-purpose language that can be ...

IPython Notebook has become common in the workflow of many data scientists who use Python — a common language for doing data science, right up there with R. But Lamp wanted something different.

Anaconda provides a handy GUI, a slew of work environments, and tools to simplify the process of using Python for data science. Topics Spotlight: AI-ready data centers ...

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.