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 ...

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

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 ...

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 ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

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 ...