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Learn by Building

The best way to master LoT is through hands-on practice. These tutorials are interactive notebooks you can download and run in VS Code—each one builds your skills progressively.
Start with Basics, then branch out. Complete the Basics tutorials first to understand LoT fundamentals, then explore the topics most relevant to your projects.

Learning Path

Follow this recommended progression from beginner to advanced:

Basics

Start here to learn the fundamentals of LoT Actions and event-driven programming.

Timed Actions

Create actions that run on schedules—heartbeats, counters, and periodic tasks. Learn ON EVERY triggers and state persistence.

Topic Actions

React to MQTT messages in real-time. Master ON TOPIC triggers, wildcards, and payload processing.

What You’ll Learn


Logic

Build intelligent automation with conditional logic and decision-making.

Conditional Logic

Implement IF/ELSE statements, comparisons, and boolean logic. Build threshold monitors, state machines, and quality control systems.

What You’ll Learn


Models

Structure and transform your data with LoT Models.

Basic Models

Define data schemas with typed fields. Create structured sensor readings, equipment status reports, and alarm messages.

Action Models

Publish models dynamically from Actions. Combine event-driven logic with structured data output.

Model Inheritance

Extend base models to create specialized variants. Build hierarchies for sensors, equipment, and production data.

What You’ll Learn


Connectors

Connect your LoT system to external databases and other MQTT brokers.

MQTT Bridge

Connect multiple MQTT brokers. Forward messages, sync data between systems, and build distributed architectures.

Database Connectors

Store MQTT data in SQL databases. Configure connections, map topics to tables, and query historical data.

What You’ll Learn


Python Integration

Extend LoT with Python for complex calculations, data processing, and advanced logic.

Simple Python

Get started with Python in LoT. Learn the script format, parameter passing, and return value handling.

Advanced Python

Build sophisticated data pipelines. Use external libraries, handle JSON, and implement validation logic.

What You’ll Learn


Showcase

Ready-to-run notebooks that combine every LoT entity type in one realistic project. Each one simulates its own data, so the core cells need only a broker.

Flights tracker

Airport operations: Python, timer and topic actions, models with inheritance, a REST API server, file storage, an MQTT bridge, rules, a panel and an AI agent.

Bottling Line

Factory line: Modbus and OPC UA servers and clients, OEE in Python, Things, rules, a dashboard and a maintenance agent.

Smart Building

Unified namespace with wildcard actions, comfort and energy alarms, a Modbus gateway, a REST webhook, dashboards and two cooperating agents.
In Bottling Line, the Thing cells are marked preview: they use DEFINE THING, which hasn’t shipped yet. Each one has a fallback cell that works on the current broker. Cells under a [needs: X] heading are optional and need an extra service, such as Ollama or PostgreSQL.

Quick Reference

Need to review a specific concept? Here’s where to find it:

Download Tutorials

All tutorials are available in the Coreflux Community GitHub repository:

LoT Tutorials Repository

Download complete tutorial notebooks with documentation, examples, and exercises.

Getting the Tutorials

1

Clone or Download

Clone the repository or download as ZIP from GitHub.
2

Open in VS Code

Open any .lotnb file—VS Code automatically uses the LoT Notebooks extension.
3

Connect Your Broker

Configure your broker credentials, then start running cells.

Next Steps

Usage Guide

Master cell execution, broker commands, and troubleshooting.

LoT Language Reference

Explore the complete LoT syntax reference and advanced features.
Last modified on October 25, 2026