Learn more about the Python and Statistics for Financial Analysis course here including a course overview, cost information, related jobs and more.

Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API,  with Python via the BQL Object ...

This concentration introduces students to the use of financial analytics used by finance practitioners. It provides a strong and rigorous introduction to the use of financial applications in fintech ...

Python's real-time data analysis capabilities empower businesses to make informed choices faster. Its role includes: Processing large-scale financial datasets instantly with pandas ...

Style analysis helps you interpret how funds are likely to behave. Copy and paste these code snippets to evaluate investments for style drift.

The addition of these Python-powered data analysis features to OpenAI’s o1 and o3-mini models in ChatGPT represents a significant enhancement in the models’ capabilities, offering users a more ...

ActiveState this week added open source packages for financial and scientific computing to its ActivePython distribution of the Python programming language. The move is being made as a result of ...

In many ways, this data is Bloomberg’s crown jewels and in this version of BloombergGPT, this proprietary data is used for building an unprecedented financial research and analysis tool.

Data analysis and visualization: Pandas and Matplotlib Python’s dominance in data analysis is evident through libraries such as Pandas and Matplotlib.