Java devs looking to explore or work in data science may need another language up their sleeves. Python and R are common Java alternatives for data science.

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 ...

Python is the fastest-growing programming language in the world. Here's why it's a good choice for those who want to learn to code.

Yhat, a startup that makes software to let data scientists work together on projects, today revealed Rodeo, an interesting new open-source tool for working with data in the browser.

In the end, the most sophisticated data strategy is only as strong as the people behind it.

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.

With data more critical than ever to companies’ success, Python is spreading beyond the realm of data professionals and being adopted by business analysts and other less technical users.

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.

There are many reasons why Python has emerged as the number one language for data science. It’s easy to get started and relatively forgiving for beginners, yet it’s also powerful and extensible enough ...