Learn how to solve first-order linear ordinary differential equations using the integrating factor method, with a practical example of an RL circuit.

Explore the Segré chart and various types of radioactive decay, the energy spectrum of electrons/positrons emitted in beta decay and the discovery of neutrinos, decay chains of several key nuclides (carbon-14, potassium-40, tritium, cesium-137), and isomeric transitions.

Explore the mass-energy equivalence principle of relativity theory and calculate the energy of moving electrons considering relativistic effects.

Learn about the identification and solution methods for exact differential equations, as well as integrating factors.

Explore the method of separation of variables and introduce related examples.

Explore the concepts of mathematical modeling, ordinary differential equations, partial differential equations, and initial value problems.

Compare static vs dynamic web pages, learn what a Static Site Generator is, and host a Jekyll blog on GitHub Pages—with setup, build, deploy, and upkeep tips.

Summarizes practical ways to use the Pandas library for data cleaning and wrangling, based on Kaggle’s free 'Pandas' course with added notes. This post covers Lessons 1–3.

Summary of Kaggle’s Intro to Machine Learning course: core ML concepts, basic Pandas exploration, and model building and validation with scikit-learn.

This post covers how to set up a development environment, which is the first step for studying machine learning on a local machine. All content is based on Ubuntu 20.04 LTS with an NVIDIA Geforce RTX 3070 graphics card.