Tutorials

Step-by-step tutorials for learning piblin_jax.

Tutorial Guides

• Basic Workflow Tutorial
  • Overview
  • Step 1: Loading Data
  • Step 2: Initial Visualization
  • Step 3: Data Smoothing
  • Step 4: Interpolation
  • Step 5: Building a Pipeline
  • Step 6: Region of Interest
  • Step 7: Numerical Derivatives
  • Step 8: Statistical Analysis
  • Step 9: Publication-Quality Plot
  • Step 10: Working with Multiple Samples
  • Summary
  • Next Steps
  • Complete Code
• Uncertainty Quantification Tutorial
  • Why Uncertainty Quantification?
  • Basic Example: Power-Law Model
  • Working with Datasets
  • Propagating Uncertainty Through Transforms
  • Advanced Example: Arrhenius Model
  • Model Comparison
  • Tips and Best Practices
  • Next Steps
  • References
• Custom Transforms Tutorial
  • Transform Hierarchy
  • Basic Custom Transform
  • JIT-Compiled Transforms
  • Advanced Transform with Parameters
  • Transform Pipelines
  • Multi-Level Transforms
  • Uncertainty-Aware Transforms
  • Best Practices
  • Real-World Example: Baseline Correction
  • Next Steps
  • Tips
• Rheological Models Tutorial
  • Overview of Rheological Models
  • Power-Law Model
  • Arrhenius Model
  • Cross Model
  • Carreau-Yasuda Model
  • Model Selection Guide
  • Practical Tips
  • Next Steps
  • References
• Advanced Pipeline Composition
  • Prerequisites
  • Overview
  • Conditional Pipelines
  • Parallel Pipeline Patterns
  • Dynamic Pipeline Configuration
  • Pipeline Reusability Patterns
  • Error Handling in Pipelines
  • Best Practices
  • Complete Example
  • Next Steps
• GPU Acceleration Best Practices
  • Prerequisites
  • Installation for GPU Support
  • Overview
  • Checking GPU Availability
  • Understanding Performance Characteristics
  • JIT Compilation
  • Batch Processing for GPU Efficiency
  • Memory Management
  • Optimizing Transform Pipelines
  • Performance Benchmarking
  • MCMC/Bayesian Acceleration
  • Common Issues and Solutions
  • Best Practices Summary
  • Performance Comparison Table
  • Next Steps

Getting Started

Basic Workflow Tutorial

Complete workflow from data loading to visualization

Uncertainty Quantification Tutorial

Bayesian parameter estimation with uncertainties

Custom Transforms Tutorial

Creating custom data transformations

Rheological Models Tutorial

Working with rheological models (Power-law, Arrhenius, Cross, Carreau-Yasuda)

Advanced Topics

Advanced Pipeline Composition

Advanced pipeline composition patterns - conditional logic, parallel processing, dynamic configuration, and reusable pipeline libraries

GPU Acceleration Best Practices

GPU acceleration best practices - JIT compilation, batch processing, memory management, and performance optimization