linProgCompare

Side-by-side comparison of linear programming (LP) and mixed-integer programming (MIP) in Python (PuLP) and R (lpSolve / ompr).

The same problems are solved in both languages. Because LP is mathematically well-defined, every paired example produces the same answer — the comparison is about how each ecosystem gets there.

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Quick Start

Python

pip install pulp pandas
python py_code/glasses.py

R

install.packages(c("lpSolve", "linprog", "ompr", "ompr.roi", "ROI.plugin.glpk", "Rsymphony"))
source("Rcode/glasses.R")

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Docs

• Getting Started — new to LP or to this project, start here
• Examples — all 11 problems explained with the key LP concept each one demonstrates
• Python vs R Comparison — ergonomics, syntax, solver ecosystem, and when each shines
• Credits — original sources this project is based on

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Structure

py_code/    # Python (PuLP)
Rcode/      # R (lpSolve / ompr / Rsymphony)
data/       # shared CSV inputs
docs/       # extended documentation