Microsoft is bringing popular programming language Python to Excel. A public preview of the feature is available today, allowing Excel users to manipulate and analyze data from Python.

You won’t need to install any additional software or set up an add-on to access the functionality, as Python integration in Excel will be part of Excel’s built-in connectors and Power Query. Microsoft is also adding a new PY function that allows Python data to be exposed within the grid of an Excel spreadsheet. Through a partnership with Anaconda, an enterprise Python repository, popular Python libraries like pandas, statsmodels, and Matplotlib will be available in Excel.

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[–] gecko@programming.dev 3 points 1 year ago* (last edited 1 year ago)

So, assuming you're still on Office 2010, you're missing (off the top of my head, but I believe these were all Excel 2013 or later):

Initial support for super-large spreadsheets, with accompanying perf improvements (this was maybe 2013?), and then lots more perf improvements in 2016 and 2019 as people started using those really big sheets;
Flash Fill support, which is kind of like an AI (not in the ChatGPT-sense)-powered fill down (so e.g., nowadays, if I enter "Sept 6th" and then "October 4th", then it'll offer a completion of November 1, since that's the first Wednesday of the month);
Heavily improved Pivot Tables, including Slicers, Power Pivot, and Pivot Drill Down, which make exploring data a lot easier;
Forecasting tools; and
Much better Tables, making it a lot easier to write formulae entirely with named references rather than cell IDs There's more, but that's what I could remember off the top of my head/could quickly verify so I was sure I wasn't misspeaking. LibreOffice Calc unfortunately also lacks basically all of these features (and the lack of Tables in particular means that OpenOffice sheets still have a lot of A2:A300 garbage where Excel would instead just have e.g. SomeTable[Heading]. E.g., an actual formula from a sheet I currently maintain to track my team's sprints: =XLOOKUP([@Verified],SprintMeta[Start],SprintMeta[Sprint Name],"Unknown",-1). Python's easier to read here, but this is honestly doing a lot while being surprisingly readable (especially if you're familiar with XLOOKUP, which is basically how you do keyed array access in Excel)

You have totally legitimate gripes about Excel; I'm not denying that. But I do think that you might be pleasantly surprised on newer versions.