Hopefully, Excel analysts will adapt. The good news for them is that Python is an easy language to learn. Excel users won't even need to install Python on their computers and download a code editor to start writing Python code . In fact, Excel has a new PY function that allows users to write Python code in Excel cells.
Python for Excel cells
Source:Microsoft Blog
Amazing, isn't it? Now we can write code in Python in cells to get the dataframe and views inside our worksheet.
This is definitely an evolution in Excel's analytical capabilities.
Python libraries will be available in Excel for data analysis.
Now you can use powerful Python libraries like Pandas, Seaborn, and Skeet-Learn in mexico rcs data Excel workbooks. These libraries will help us perform advanced analysis, create stunning visualizations, and apply techniques like machine learning , predictive analytics, and forecasting in Excel.
Excel analysts who can't write code in Python will have to work with pivot tables, formulas, and Excel charts, but those who adapt will take their analytical skills to the next level.
Here are some examples of what data analysis might look like in Python in Excel.
With Python in Excel, we can use regular expressions (regex) to search for specific strings or text patterns in cells. In the example below, regex is used to extract dates from text.
This will benefit both analysts Python over Excel
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