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 ...

Introduction to Python for Data Analysis¶. Recall that R is a statistical programming language—a language designed to do things like t-tests, regression, and so on.The core of R was developed during ...

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 ...

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.

If you have a Microsoft 365 subscription, you can access Python within Excel, and you don't need to use Python as a separate app. Instead, you can visit the Formulas tab in Excel and select the Insert ...

Copy and paste these Python snippets to kickstart style analysis. For more real-life case studies and examples, download the style analysis guide. The Basics of Returns-Based Style Analysis.