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, ...

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 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 ...

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 ...

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 if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

DARPA (the U.S. Defense Advanced Research Projects Agency) has awarded $3 million to software provider Continuum Analytics to help fund the development of Python’s data processing and visualization ...

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 ...