The aim of this course is to teach the fundamentals of the Python programming language and to enable students to solve problems they will encounter during their undergraduate physics education using numerical methods (numerical differentiation, integration, root finding, differential equation solutions). The course covers data types, loops, control structures, and algorithm development, followed by the application of numerical techniques such as numerical differentiation, integration, root finding, Euler and Runge-Kutta methods to physics problems (e.g., complete solution of the simple pendulum, blackbody radiation).

Fundamentals of Python programming: data types, array variables, operators, loops (for and while), control structures (if…else…elif), data input and output. Numerical differentiation (variable force in one dimension), numerical integration (Simpson and Trapezoidal rules, complete solution of the simple pendulum), root finding (bisection method, fixed-point iteration, Newton-Raphson method), and numerical solutions in blackbody radiation. Differential equations (initial value problems), Euler method, and Runge-Kutta method.