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 ...

While you can do some good data analysis with a spreadsheet like Excel, if you want to take your calculations to the next level, you might try Python in a Jupyter notebook instead. Here are some ...

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 ...

Every Data Team Eventually Ends Up with a Collection of Python Scripts. Almost every enterprise data platform follows a similar evolution. At the beginning of a project, data inge ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

Writing to files is one of the most important things you will learn in any new programming language. This allows you to save user data for future reference, to manipulate large data sets, or to build ...

Do you find yourself doing the same repetitive SEO tasks each day or facing challenges where there are not tools that can help you? If so, it might be time for you to learn Python. An initial ...

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, ...