What first interested you in data analysis, Python and pandas? I started my career working in ad tech, where I had access to log-level data from the ads that were being served, and I learned R to ...

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 ...

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

Overview:Confused between Python and R? Discover which language dominates data science in 2026.Compare AI power, ...

Turn Excel into a lightweight data-science tool for cleaning datasets, standardizing dates, visualizing clusters, and analyzing keywords.

Overview Pandas is a highly flexible and reliable Python Library for small to medium datasets, but it struggles with ...

An intuitive guide for professionals wanting to prepare for the future of Microsoft Excel by building Python in Excel skills ...

Not only is Python one of the most popular and easiest to learn of all programming languages, but it's also one of the most important for artificial intelligence and machine learning. So it will be in ...

An intuitive guide for professionals wanting to prepare for the future of Microsoft Excel by building Python in Excel skills ...

My first Web-related job was in 1995, developing Web applications for a number of properties at Time Warner. When I first started there, we had a handful of programmers and managers handling all of ...