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

Recall the purpose of Gap Analysis: determine whether two samples of data are different. In our running example, we want to determine whether Sample 1 (salaries of female employees in the bank) is ...

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 ...

I include the data import and library import commands at the start of each lesson so that the lessons are self-contained. Pandas has a very simple contingency table feature. Below, I specify the two ...

In this article, we will be sharing some free Python programming courses offered by SWAYAM, MIT and Google that can be great ...

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 ...