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 ...

The normal distribution is a continuous probability distribution that is symmetrical, bell-shaped, and centred around its mean. It is one of the most important distributions in statistics because many ...

Data-driven approaches have been widely used in the field of traction system and equipment fault diagnosis. However, limited training samples can cause data-driven models to face the dilemma of ...

About A simple Python library to convert normal data (e.g., dictionaries, lists, custom objects) into JSON format.

Based on the properties of the scale-invariant log-normal distribution of droplet sizes, we investigate a correlation between the moments of the distribution and the distance from ρc.

What Is the Normal Distribution? The normal distribution formula is based on two simple parameters— mean and standard deviation —that quantify the characteristics of a given dataset.

Ever wondered how to fit a logit-normal distribution given its quantiles? For example, fitting a grade distribution on an exam given their upper quartile, median, and lower quartile? Then you have ...

Steps to Calculate Normal Distribution Now that we are familiar with the concepts let us go through the steps to calculate normal distribution: Step 1: Determine mean (µ) and standard deviation (σ) ...

Anaconda’s Python distribution is fully embedded and integrated into the Excel grid toolboxes for manipulating, analyzing, and visualizing data and for advanced machine learning and AI. Python in ...