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 ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation In forecasting economic time series, statistical models often need to be complemented with a process to impose various ...

Add a description, image, and links to the python-matplotlib-visualization-inflation topic page so that developers can more easily learn about it.

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 ...

This Python 3 module helps you speedup generation of subplots in pseudo-parallel mode using matplotlib and multiprocessing. This can be useful if you are dealing with expensive preprocessing or ...