With Intel acceleration, it’s no surprise to see the growing presence of Python in high-performance computing, big data, machine learning, and data science.

Although Julia is purpose-built for data science, whereas Python has more or less evolved into the role, Python offers some compelling advantages to the data scientist.

Python is an ‘equalizer’ which can help every part of a data operation to work together. Python is now the most popular language for data science, used by 15.7 million developers globally.

At Springboard, we pair mentors with learners in data science. We often get questions about whether to use Python or R – and we’ve come to a conclusion thanks to insight from our community of ...

Aug. 22, 2023 — Anaconda Inc., the provider of one of the world’s most widely used and trusted data science and AI platforms, today announced the beta availability of Anaconda Distribution for Python ...

Java has a lot going for it, but it's not the top language for data science. Java professionals may want to familiarize themselves with Python or R for data science workflows.

This online data science specialization is designed for learners with little to no programming experience who want to use Python as a tool to play with data. You will learn basic input and output ...

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.

Finish up with the advanced "Master Clustering Analysis for Data Science Using Python". Former students have been extremely satisfied with the classes in this bundle.

Coursera offers a variety of training options for the growing data professional. Explore top data science courses from Coursera now.