Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

I'm making cax an inset_axes here mostly because a lot of the real use cases for this are maps where it's nice to have a lot of control on where to put the histogram. I figure this example should live ...

Abstract: Deep Neural Networks (DNNs) have recently made significant strides in various fields; however, they are susceptible to adversarial examples—crafted inputs with imperceptible perturbations ...

Exploratory Data Analysis (EDA) is the process of examining and visualizing data sets to uncover patterns, relationships, anomalies, and initial insights before applying formal statistical modeling or ...

Analyzing stock returns and volatility is crucial for making informed investment decisions. By leveraging Python, you can unlock powerful capabilities to analyze historical stock data, calculate ...

The aim of these labs is to introduce you to data visualization with Python as concrete and as consistent as possible. Speaking of consistency, because there is no *best* data visualization library ...