The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...

The Basics of Returns-Based Style Analysis Fetching Data for Style Analysis Case Study: Looking for Investment Style Drift Unlock More Code Snippets for Rigorous Fund Evaluation Investors choose funds ...

Actively managed funds typically charge higher fees than index funds based on the premise that the managers’—and their investment teams’—efforts generate excess returns or alpha. How well do active ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

The programme is designed for aspiring data scientists, AI enthusiasts, technology professionals seeking to upskill.