Next Steps

With OptalCP installed, here's where to go based on your goals.

Learning Paths

New to Constraint Programming?

Start with the Tutorial — it teaches scheduling concepts step-by-step using a furniture workshop example:

1. Introduction — Scheduling basics and the Model → Solve → Solution workflow
2. Basic Model — Intervals, precedences, and makespan optimization
3. No Overlap — Disjunctive resources (shared equipment)
4. Cumulative Resources — Limited worker capacity
5. Transition Times — Setup times between tasks
6. Alternatives — Choice between options
7. Reservoirs — Production and consumption

Experienced with CP, New to OptalCP?

If you're coming from another solver (like IBM CP Optimizer):

• Python API — Complete API documentation

Building an Application?

For integrating OptalCP into production systems:

• Tutorial — Understand the modeling patterns
• Python API — Complete API documentation

Quick Reference

Topic	Where to Look
Creating interval variables	Modeling: Intervals
Resource constraints	Resources Overview
Async solving with callbacks	Solving: Async

Examples and Benchmarks

The optalcp-benchmarks repository contains code and data for many benchmark problems including Job Shop, Flexible Job Shop, RCPSP (Resource-Constrained Project Scheduling Problem), and more.

See also

• Tutorial: Introduction — Start the learning path
• optalcp-benchmarks — Example code and benchmark data