At the same time, business analysts are running into the limits of what BI tools can do for them and looking for ways to do more advanced analytics. Python is the key to success here.

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

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 ...

Managers and leaders of business, competitive analysis, and marketing teams need to consider how the fast advances in models, including Google’s Gemini 2.0 Flash, can help their teams get ...

Python continues to transform financial services by driving innovation across risk management, payments, banking, and compliance.

Python in Excel is particularly beneficial for professionals in data-intensive fields such as finance, auditing, and business analytics. Here’s how it can transform your workflow: ...

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 ...

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.

You still interact with your data in Excel’s intuitive grid, but the complex processing, automation, and advanced analysis happen behind the scenes, powered by Python.

10 min read Investment Style Analysis: Python Snippets for Evaluating Style Drift Copy and paste these code snippets to evaluate investments for style drift.