Python has several libraries that can be used for sentiment analysis, including Pattern, NLTK, TextBlob, and spaCy. These libraries provide a wide range of features, such as tokenization, part-of ...

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 ...

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

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.

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 ...

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.