The main reason to use Python is that you get a lot more options than what's included in most spreadsheets. Spreadsheets are ...

Business analysts are running into the limits of BI tools and looking for ways to do more advanced analytics. Python is the way forward. With data more critical than ever to companies’ success ...

Python is now integrated into Excel via Microsoft 365, allowing users to write Python code directly in spreadsheets using the `=PY` formula, enhancing data analysis and visualization capabilities.

Python is great because it includes an interactive mode for learning the language and quickly testing out code ideas. IPython ...

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 ...

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 ...

In this position, you’ll produce robust and maintainable code. You’ll be required to work on APIs (in Python) as well as on issues around ETL, BI, or the data warehouse.

“With the power of Python at their fingertips, we’re empowering Excel users to discover new horizons for advanced data analysis and machine learning projects, while making it more accessible and ...

Useful Libraries for Data Analysis Whenever I start a data analysis project, I like to have at a minimum the following libraries installed: Requests. Matplotlib. Requests-html. Pandas.

Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.