Full-Stack Development with OOP (Python & JavaScript) Training Course

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Duration

4 Days

Course Overview

This hands-on training course is designed for developers who want to integrate Object-Oriented Programming (OOP) concepts into full-stack development, covering both backend (Python) and frontend (JavaScript) technologies. Participants will learn how to design and build scalable web applications using OOP principles in Python for server-side logic and JavaScript for client-side interactivity. The course includes practical exercises and projects to reinforce OOP best practices across the full technology stack

Format of Training

  • Instructor-led interactive sessions
  • Hands-on lab exercises with real-world projects
  • Practical implementation of backend and frontend OOP concepts
  • Q&A and troubleshooting sessions

Course Objectives

  1. Understand the principles of Object-Oriented Programming (OOP) in both Python and JavaScript.
  2. Implement OOP concepts in backend development using Python.
  3. Apply OOP principles in JavaScript for frontend development.
  4. Integrate Python and JavaScript in a full-stack application.
  5. Develop RESTful APIs using Python and Flask or Django.
  6. Create dynamic and interactive web interfaces using JavaScript and modern frameworks.
  7. Build and deploy a full-stack application utilizing OOP best practices.

Prerequisites

Course Outline

Day 1

Session 1: Introduction to Full-Stack Development and OOP Concepts

  • Overview of full-stack development
  • Benefits of using OOP in web applications
  • Setting up the development environment (Python, JavaScript, IDEs)

Session 2: OOP Basics in Python

  • Classes, objects, and methods in Python
  • Implementing encapsulation, inheritance, and polymorphism
  • Hands-on exercise: Creating a Python application using OOP principles

Session 3: Python for Backend Development

  • Introduction to web frameworks (Flask or Django)
  • Structuring backend applications with OOP
  • Hands-on exercise: Building a simple RESTful API using OOP in Python

Session 4: Data Handling and Persistence in Python

  • Connecting to databases (SQLite, PostgreSQL)
  • Implementing data models using classes
  • Hands-on exercise: Developing data models for a backend application

 

Day 2

Session 1: Advanced OOP in Python

  • Abstract classes, interfaces, and mixins
  • Managing dependencies and modularity in Python applications
  • Hands-on exercise: Refactoring a backend application for better modularity

Session 2: Introduction to JavaScript and OOP

  • Understanding JavaScript classes, constructors, and methods
  • Implementing OOP principles (encapsulation, inheritance, polymorphism) in JavaScript
  • Hands-on exercise: Creating JavaScript classes for frontend components

Session 3: JavaScript for Frontend Development

  • Using JavaScript to interact with the DOM
  • Implementing MVC architecture in the frontend
  • Hands-on exercise: Developing dynamic UI components using OOP in JavaScript

Session 4: Integrating Python Backend with JavaScript Frontend

  • Communicating between frontend and backend using APIs
  • Fetching data from the server and updating the UI dynamically
  • Hands-on exercise: Integrating a Python API with a JavaScript frontend

 

Day 3

Session 1: Working with Asynchronous Programming and APIs

  • Introduction to asynchronous JavaScript (async/await, Promises)
  • Handling API requests and responses
  • Hands-on exercise: Creating a JavaScript application that consumes RESTful APIs

Session 2: Building Interactive Web Applications with OOP

  • Designing interactive components with JavaScript
  • Managing state and data flow in the application
  • Hands-on exercise: Building an interactive frontend using JavaScript OOP

Session 3: Advanced JavaScript Concepts

  • Implementing design patterns in JavaScript (Module, Observer)
  • Using ES6+ features to enhance code quality
  • Hands-on exercise: Refactoring JavaScript code for scalability and maintainability

Session 4: Integrating Third-Party Libraries and APIs

  • Working with external libraries (Axios, Chart.js)
  • Integrating third-party APIs for added functionality
  • Hands-on exercise: Enhancing a full-stack application with external services

 

Day 4

Session 1: Full-Stack Application Development Project

  • Planning the architecture of a full-stack application
  • Defining data models, APIs, and frontend components
  • Hands-on exercise: Setting up the project structure

Session 2: Implementing the Backend with Python and Flask/Django

  • Developing APIs and data processing logic
  • Ensuring secure and efficient data handling
  • Hands-on exercise: Building the backend for the full-stack application

Session 3: Developing the Frontend with JavaScript

  • Creating dynamic UI components and data visualizations
  • Implementing user interactions and state management
  • Hands-on exercise: Building the frontend for the full-stack application

Session 4: Finalizing the Full-Stack Application and Deployment

  • Integrating backend and frontend components
  • Testing, debugging, and optimizing the application
  • Hands-on project: Completing and deploying the full-stack applicationOpen discussion, Q&A, and course wrap-up
Team reviewing charts and documents together around a meeting table

Bespoke Option

We are open to customizing this program to align with your specific learning objectives. If your team has particular goals or areas they wish to focus on, we would be happy to tailor the course outline to meet those needs and ensure the program supports the achievement of your desired outcomes.

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