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Data Science

10 learners

Optimization with SciPy

This course explores SciPy's optimize module, teaching participants how to tackle various optimization problems. It covers key functions, algorithms, and their applications, enabling efficient problem-solving and practical implementation in Python.

Python

SciPy

See path

4 lessons

15 practices

1 hour

Mathematics and Statistics

Lessons and practices

Lesson 1: Defining Functions in Python

Calling Functions and Printing Results

Iterate and Call a Function

Defining and Testing Polynomial Functions

Custom Function and Evaluation Steps

Lesson 2: Introduction to Function Optimization with SciPy

Minimize the Function with SciPy

Maximize Function with SciPy

Explore Linear Optimization Challenges

Exploring Local Minima with Sine

Lesson 3: Optimization for Multivariable Functions in SciPy

Define and Minimize Functions

Optimizing a Three-Variable Function

Finding Extremes in Room Temperature

Lesson 4: Optimization with Constraints Using SciPy

Adding Constraints to Optimize Functions

Constrained Optimization with SciPy

Defining Constraints for Optimization

Adding Constraints for Optimization

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