Tutorials

Step-by-step guides to help you get started with pylinkage and master its features.

Getting Started

New to pylinkage? Start here to learn the fundamentals.

• Getting Started

Core Features

Learn to use pylinkage’s main capabilities.

• Visualization Backends
• Cam-Follower Mechanisms
• Advanced Optimization Techniques
• Multi-Objective Optimization
• Kinematics-Based Optimization
• Sensitivity & Tolerance Analysis

Advanced Topics

Dive deeper into specialized features.

• Linkage Synthesis
• Symbolic Computation
• Graph-Based Linkage Representation
• Custom Joint Creation

Quick Reference

Tutorial	What You’ll Learn
Getting Started	Create joints, build linkages, run simulations, basic visualization
Visualization Backends	Matplotlib animations, Plotly interactive plots, SVG export
Cam-Follower Mechanisms	Cam profiles, motion laws, translating/oscillating followers
Advanced Optimization Techniques	PSO optimization, fitness functions, bounds, grid search
Multi-Objective Optimization	NSGA-II/III Pareto optimization, trade-off analysis, hypervolume
Kinematics-Based Optimization	Velocity analysis, acceleration, kinematic-based optimization
Sensitivity & Tolerance Analysis	Sensitivity coefficients, Monte Carlo tolerance analysis, robustness
Linkage Synthesis	Function/path/motion generation, Burmester theory, Grashof analysis
Symbolic Computation	SymPy expressions, analytical gradients, symbolic optimization
Graph-Based Linkage Representation	Assur groups, hypergraphs, component libraries, structural analysis
Custom Joint Creation	Extend the Joint class, custom constraint types