(Ed – This is the second in a series of tutorials for using the Python programming language to get, clean and analyze NBA statistical data. This post introduces using Python for data visualization.

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, ...

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

If you’re decent in Python (or aspire to be) but don’t have the chops for advanced data work in Excel, Microsoft now offers the kind of peanut butter-and-chocolate combination that you may consider a ...

Overview: Data analysis software makes sense of large amounts of information quickly.Tools like R, Python, and SPSS simplify research and statistical studies.Vi ...

A new tool being previewed in the Visual Studio Code Insiders channel can generate code to ease the tedious data preparation process that data scientists need to go through to get good data for ...