Understanding and Using Functions in Python for Data Science
Functions are an integral part to a data scientist’s toolbelt. In this post, we’ll explore what functions are, how to write them, and some practical examples!
Functions are an integral part to a data scientist’s toolbelt. In this post, we’ll explore what functions are, how to write them, and some practical examples!
In this post, we’ll explore how binning data in Python works with the cut() method in Pandas. In the past, we’ve explored how to use the describe() method to generate some descriptive statistics. In particular, the describe method allows us… Read More »Binning Data in Python with Pandas’ cut()
In this tutorial, you’ll learn how to use Python and Pandas to VLOOKUP data in a Pandas DataFrame. VLOOKUPs are common functions in Excel that allow you to map data from one table to another. In many cases, this can… Read More »VLOOKUP in Python and Pandas using .map() or .merge()
When you develop a macro in Excel, it’s only available in the workbook you create it in – unless you add it to your Personal Macro Workbook. The workbook is a hidden workbook that runs in the background whenever you open Excel, allowing you to access any of the macros you’ve stored within it.
Learn everything you need to know about the magical and mystical VLOOKUP function in Excel!