Already using NumPy, Pandas, and Scikit-learn? Here are five more powerful Python data science tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw ...

Overview  Docker containers keep data science projects consistent across all systemsBest practices make Docker environments safe, light, and reliableDocker ...

Python for Data Science Essential Training is one of the most popular data science courses at LinkedIn Learning. This is course 1 of 2. In this course, instructor Lillian Pierson takes you step by ...

Python, Julia, and Rust are three leading languages for data science, but each has different strengths. Here's what you need to know. The most powerful and flexible data science tool is a programming ...

Introducing Anaconda, a Python distribution for scientific research. I've looked at several ways you could use Python to do scientific calculations in the past, but I've never actually covered how to ...

Open-source programming language Python has become one of the few languages that won't disappear anytime soon. It's the top or one of the top two languages in most notable language popularity indexes, ...

Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But in the world of data science, Java isn't always the go-to ...

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 ...