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.

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.

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 ...

Python for VS Code comes with the Python extension in the code editor's marketplace, which has been installed a whopping 30.3 million times, making it the most popular tool in the marketplace by far.

This post is designed to spare other SEO pros the same fate. Within it, we’ll cover the Python equivalents of the most commonly used Excel formulas and features for SEO data analysis – all of ...

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

According to the company, Insight Partners led the investment with participation from Mubadala Capital. Bloomberg reported ...

From data interpretation and visualization to Python code analysis and optimization, this tool has the potential to revolutionize your digital tasks. Give it a try and experience the difference.