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CodeSignal

Optimization with SciPy

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Overview

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.

Syllabus

  • Unit 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
  • Unit 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
  • Unit 3: Optimization for Multivariable Functions in SciPy
    • Define and Minimize Functions
    • Optimizing a Three-Variable Function
    • Finding Extremes in Room Temperature
  • Unit 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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