Lectures related to Numerical Differentiation and Integration

Covers the application of finite element methods to solve boundary value problems in one dimension.

Covers differentiable functions, extreme points, and the Lagrange multiplier method for optimization.

Explores numerical methods for fluid dynamics and techniques for handling fluid interfaces.

Introduces NumPy, focusing on array creation, manipulation, and its advantages for scientific computing.

Introduces the finite difference method for approximating derivatives and solving differential equations in practical applications.