Quadratic Equation: Programming Solutions

Related lectures (30)

Page 1 of 3

Explores square roots in quadratic equations, complex numbers, Fermat prime numbers, and the Gauss-Wantzel theorem.

Covers the basics of writing functions in Python and working with function arguments.

Covers the basics of programming, including types, variables, methods, functions, conditions, loops, and boolean logic.

Discusses numerical methods, focusing on stopping criteria, SciPy for optimization, and data visualization with Matplotlib.

Introduces Python programming basics, covering data types, operators, variables, functions, and code tracing.

Covers mathematical exercises on functions, equations, and trigonometric functions.

Covers advanced Python programming concepts, including data structures and functions.

Covers advanced topics in Python programming, focusing on control structures and functions.

Covers algorithmic thinking, Python programming, numerical methods, and essential computing concepts for scientific computing.

Covers NumPy arrays and their graphical representations using Matplotlib, focusing on array creation, manipulation, and visualization techniques.