When I refer to Python, I don’t mean to use a dedicated Python app in favor of Excel. Of course, it comes with several ...

The result? A powerful tool that allows data manipulation and exploration using Python plots and libraries, coupled with the refinement of insights using Excel’s formulas, charts, and PivotTables.

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 ...

Here is where Python’s Panda library made my job much easier. First, I need to copy and paste the data from each source into separate sheets in my Excel workbooks and use the Python code to ...

Simplify your data transformation by skipping complex parsing expressions and instead using Flash Fill and Power Query in Microsoft Excel. Image: IB Photography/Adobe Stock If you work with ...

“No set up or installation is required. Using Excel’s built-in connectors and Power Query, you can easily bring external data into Python in Excel workflows.” To try this out, you’ll have ...

but you might not know that you can use this feature to parse characters across several rows. Image: Andreas Prott/Adobe Stock Most of us have had Microsoft Excel data arrive in a structure that ...

Excel’s Import and Parsing options use a Wizard to guide you through these processes. Just follow the directions on the screens. Once the data is imported, the challenge is how to properly parse ...