Python has become the go-to language for data analysis, thanks to its powerful ecosystem of libraries like Pandas, NumPy, Matplotlib, and Seaborn. These tools make it easier to clean, manipulate, ...

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 ...

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 ...

Python is transforming how investors approach portfolio optimization, risk management, and asset allocation. With libraries like PyPortfolioOpt, pandas, and SciPy, you can model returns, minimize ...

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks. Learning to code, whether with Python, JavaScript, or another ...