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 ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

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 ...

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 ...

Arrays in Python give you a huge amount of flexibility for storing, organizing, and accessing data. This is crucial, not least because of Python’s popularity for use in data science. But what ...

Streamlit lets you write web-based Python data applications without HTML, CSS, or JavaScript. Here's a first look at Streamlit. A common problem with Python applications is how to share them with ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...