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

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

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 ...

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 ...

Master the Most Important Deep Learning Frameworks for Python Data Science Tensorflow Bootcamp For Data Science In Python Complete Tensorflow Mastery For Machine Learning & Deep Learning in Python ...

In recent years, high inflation and global conflict busted economist predictions. How well are your funds or portfolios prepared to weather market surprises? Scenario analysis can help portfolio ...

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