New extension pack bundles wildly popular tools for Python development, assisted by the AI-powered GitHub Copilot and a data wrangler.

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.

Python’s data science libraries make it an instant hit among data scientists. From Numpy, Scipy, StatsModels, and sci-kit-learn, Python continues to add data science libraries to its collection.

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.

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 ...

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 ...

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.

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.

Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room ...

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.