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 ...

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 ...

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 ...

Python has become a go-to language for data analysis, thanks to libraries like NumPy, pandas, and Matplotlib. These tools make it easier to clean, manipulate, and visualize data for actionable ...

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 ...

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 ...

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 ...

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 ...

Python has become the go-to language for data analysis, offering powerful libraries for cleaning, exploring, visualizing, and modeling data. From quick exploratory checks to complex predictive ...