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

The Basics of Returns-Based Style Analysis Returns-based style analysis uses historical performance to calculate and show an investment’s composition, style drift, and relative performance ...

The two worlds of Excel and Python are colliding thanks to Microsoft’s new integration to boost data analysis and visualizations. The two worlds of Excel and Python are colliding thanks to ...

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 ...

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.

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.

6 min read Scenario Analysis: Python Code Snippets for Forecasting Investment Performance Copy and paste these code snippets to forecast investment performance in any market conditions.

Basic Pandas, like importing CSVs, filtering, and previewing dataframes. If you’re unsure about any of this, then Hamlet’s guide on Python data analysis for SEO is the perfect primer.