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

Syndication 10 simple Python tips to speed up your data analysis October 12, 2020 - 11:39 am Tips and tricks, especially in the programming world, can be very useful.

Discover how Julius AI simplifies complex data analysis for US businesses and researchers. Learn about its recent $10M ...

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 ...

Returns-based style analysis is widely used due to its relatively light input data requirements. All you need are fund returns and premia for the style factors you want to evaluate.

Python Integration in Excel TL;DR Key Takeaways : Integrating Python into Excel enhances data analysis by combining Excel’s accessibility with Python’s advanced analytical and visualization tools.

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.

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