Mathematical Optimization in Python :Using PuLP, Python-MIP
Last updated on October 27, 2026 4:59 amMathematical Optimization in Python :Using PuLP, Python-MIP
★★★★★
$479.00 in stock
Udemy.com
as of November 6, 2026 2:46 am
A Practical Approach to Solving Optimization Problems: Learn PuLP and Python-MIP Syntax and Features
Created by:
Shunsuke Hata
Python,JavaScript,GO,swift
Python,JavaScript,GO,swift
Rating:4.6 (5reviews)
33students enrolled
What Will I Learn?
- Basic Usage of Python Libraries such as PuLP and Python-MIP
- Differences and Features of PuLP and Python-MIP
- Fundamentals of Mathematical Optimization including Linear Programming and its Applications
- Classic Problems and Solutions in Mathematical Optimization: Production Planning, Knapsack Problem and Traveling Salesman Problem (TSP)
Requirements
- How to use list and dictionary types in Python (not necessarily required)
Target audience
- Individuals eager to gain expertise in leveraging Mathematical Optimization, including Linear Programming, for practical business applications
- Those striving to attain proficiency in the fundamental usage of Python libraries like PuLP and python-mip


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