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Data Science

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

Course details

Defining Functions in Python

Preview

Calling Functions and Printing Results

Iterate and Call a Function

Defining and Testing Polynomial Functions

Custom Function and Evaluation Steps

Next Course: Calculus with SciPy

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From our community

Hear what our customers have to say about CodeSignal Learn

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.

Faith Yim

Software Engineer

+14

It's an amazing product and exceeded my expectations, helping me prepare for my job interviews. Hands-on learning requires you to actually know what you are doing.

Alex Bush

Full Stack Engineer

I'm really impressed by the AI tutor Cosmo's feedback about my code. It's honestly kind of insane to me that it's so targeted and specific.

Abbey Helterbran

Tech consultant

I tried Leetcode but it was too disorganized. CodeSignal covers all the topics I'm interested in and is way more structured.

Jonathan Miller

Senior Machine Learning Engineer

+12

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11