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 ...

Since the creation of python reading in files has become much easier with each update and with each added package. To work with csv and xlsx files the easiest package is the pandas package because it ...

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 ...

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 ...

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, ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...