SciPy, Numba, Cython, Dask, Vaex, and Intel SDC all have new versions that aid big data analytics and machine learning projects. If you want to master, or even just use, data analysis, Python is the ...

I've written a lot about data analysis with Python recently. I wanted to explain why it's been a language of choice. Here are some of the reasons I find Python so easy to use, yet powerful. Python ...

Python* has become one of the most popular programming languages in use today. Easy to learn, with vast open source packages and libraries, Python applications have found their way into just about ...

Python is a popular general-purpose language, but it's increasingly favored for statistics, data analysis, and data science. If you have a basic knowledge of statistics, how can you apply that to ...

R vs Python: What are the main differences? Your email has been sent More people will find their way to Python for data science workloads, but there’s a case to for making R and Python complementary, ...

Teradata announced its foundational enterprise-grade Data Analyst AI agent is now available on Google Cloud Marketplace, enabling organizations to integrate advanced analytics and agentic AI ...

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 ...

The open-source project behind Julia, a programming language for data scientists, has revealed which languages users would shift to if they decided no longer to use Julia. Julia, a zippy programming ...

This article was originally published on .cult by Nate Rosidi. .cult is a Berlin-based community platform for developers. We write about all things career-related, make original documentaries and ...