The recent announcement from Microsoft that they have now integrated Python into it’s Excel spreadsheet software has opened up a wealth of new applications for data analytics, automation and number ...

Python may be the second choice to R, but its popularity and ease of use positions it to dominate data science. “When [Netflix’s data science team] started, there was one single kind of data scientist ...

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 ...

More people will find their way to Python for data science workloads, but there’s a case to for making R and Python complementary, not competitive. As data science becomes critical to every ...

Some members of the Microsoft 365 Insiders program can now try out the combination of Python’s data analysis and visualization libraries, Excel’s features and the Anaconda Python repository. Python in ...

In December 2019 my InfoWorld colleague Sharon Machlis wrote an article called “How to merge data in R using R merge, dplyr, or data.table.” Sharon is a whiz at R programming, and analytics in general ...

Data science is often cited as one of the main reasons for Python's growing popularity. But while people are definitely using Python for data analysis and machine learning, not many of those using ...

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 ...