Solving Differential Equations using scipy.odeint in Python!

READ ME: The first 30seconds of the video lagged a bit, feel free to skip them, rest should be smooth thank you for watching! In this Video, we will learn how to solve ODE's with IVP in Python (Ordinary Differential Equations, of the Initial Value Problem). We will take an in-depth look at the "odeint()" function provided by the scipy library for numerical computation in Python. We will consider two examples: Malthusian Growth Model (1st Order ODE) Damped Mass-Spring System (2nd order ODE) [🐍] Python Scripts found on my GitHub: https://github.com/Younes-Toumi/Youtu...) [🖥️] GitHub Link: https://github.com/Younes-Toumi [💼] LinkedIn Link:   / younes-abdeldjalil-toumi-334b29207   [🐍] Check out my Python Simulation Playlist:    • Playlist   Curious to solve physics problems in Python? Let me know in the Comments! Enjoy ~ 🐍 🕒 Timestamps: 00:00 - Introduction 00:21 - Logic Behind Solving ODE's Numerically 06:30 - Solving a Problem with odeint 08:20 - Framing & Packaging your Problem correctly 10:27 - Example of 1st order ODE's: Malthusian Growth Model 15:20 - Solving Higher order ODE's 16:01 - Example of higher order ODE's: Damped Mass-Spring System 21:47 - Solving a System of ODE's