Masterclass: Introduction to Python and Odoo - Installing Odoo

Lecture 1.4: Functions and Modules

Monopoly Challenge: Basic Control Flow and Method Declaration

Risk Challenge: Control Flow and Method Declaration

Master Challenge: Air Traffic Control System

Section 1: Code Files

Lecture 2.1: Odoo Framework Architecture - Models

Lecture 2.2: Models and ORM Basics

Lecture 2.3: Relationships Between Models

Lecture 2.4: Odoo Fields and Constraints

Master Challenge: Implementing Monopoly Game Mechanics in Odoo

Master Challenge: Implementing Risk Game Mechanics in Odoo

Master Challenge: Implementing Air Traffic Control System in Odoo

Section 2: Code Files

Lecture 3.1: Advanced Python Data Structures

Lecture 3.2: Using Python Decorators in Odoo

Lecture 3.3: Error Handling and Debugging

Lecture 3.4: Scheduled Actions and Automation

Monopoly Challenge: Advanced Data Structures and Decorators

Risk Challenge: Error Handling and Game Logic

Master Challenge: Air Traffic Control Automation System

Section 3: Code Files

Lecture 4.1: Creating Your First Odoo Module

Lecture 4.2: Adding Business Logic to Your Module

Lecture 4.3: Integrating with Odoo Views

Lecture 4.4: Reporting and Data Export

Monopoly Challenge: Building a Complete Game Module

Risk Challenge: Business Logic and Territory Views

Master Challenge: Air Traffic Control Module

Section 4: Code Files

Lecture 5.1: Working with External APIs

Lecture 5.2: Security in Odoo Applications

Lecture 5.3: Performance Optimization

Lecture 5.4: Packaging and Deploying Odoo Modules

Monopoly Challenge: API Integration and Security

Risk Challenge: Performance and Optimization

Master Challenge: ATC System - Full Deployment Package

Section 5: Code Files

Lecture 6.1: Project Genesis — Architecture Vision and System Design

Lecture 6.2: Domain Modeling — The Trading Data Layer

Lecture 6.3: The SOLID Strategy Engine — Contracts and Interfaces

Lecture 6.4: The Observer Pattern — Real-Time Market Data Distribution

Lecture 6.5: Order Management — Factory and State Patterns Combined

Lecture 6.6: The Market Scanner — High-Performance Data Processing

Lecture 6.7: WebSocket and Webhook Architecture — Eliminating Cron Jobs

Lecture 6.8: OWL Frontend — Real-Time Trading Dashboard

Lecture 6.9: Portal and User Management — Trading Profiles

Lecture 6.10: Testing, Backtesting, and Quality Assurance

Lecture 6.11: Design Documentation — UML, ERD, and Professional Artifacts

Lecture 6.12: Deployment, Monitoring, and Production Readiness

Lecture 7.1: Project Vision — Bridging Art and Music Through Technology

Lecture 7.2: Data Modeling — The Art Domain

Lecture 7.3: Data Modeling — The Music Domain

Lecture 7.4: The Association Engine — Connecting Art and Music

Lecture 7.5: Data Pipeline — Ingesting 1.4 Million Artworks

Lecture 7.6: Data Pipeline — Ingesting 700K+ Music Tracks

Lecture 7.7: The Intelligent Music Player — Crossfade Engine and Context-Aware Selection

Lecture 7.8: OWL Gallery UX — The Art Browser Experience

Lecture 7.9: OWL Music UX — Player Interface and Music Browser

Lecture 7.10: The Exploration Experience — Unified Art and Music Discovery

Lecture 7.11: Search, Discovery, and Personalization — Making 2.1 Million Items Findable

Lecture 7.12: Performance, Testing, and Deployment at Scale — Production-Ready Platform Engineering