Discover how Python in Excel transforms data analysis with advanced features. Is it worth the hype? Find out if it’s right ...

TL;DR Key Takeaways : Python integration in Excel enhances data analysis by combining Python’s flexibility with Excel’s accessibility, allowing advanced analytics and workflow optimization ...

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Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API, with Python via the BQL Object Model. This session will feature practical demonstrations, code ...

Thermal throttling destroys model training performance but only three laptop brands solved this critical engineering problem ...

But under the hood, it’s far more powerful than that. If you're only using it to brainstorm ideas or edit emails, you're missing out on some seriously impressive hacks that can save you time, simplify ...

“The ability to run Python in Excel simplifies McKinney's reporting workflows. We used to manipulate data structures, filter, and aggregate data in a Jupyter Notebook, and build visuals in Excel. Now ...

“The ability to run Python in Excel simplifies McKinney's reporting workflows. We used to manipulate data structures, filter, and aggregate data in a Jupyter Notebook, and build visuals in Excel. Now ...

There is a plethora of Python packages for geospatial analysis, such as geopandas for vector data analysis and xarray for raster data analysis. As listed at pyviz.org, there are also many options for ...

Learn the advantages and disadvantages of using Excel for data analysis, and how to compare and choose from other tools, such as R, Python, and Tableau.