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Python Full Stack Training in Kilpauk

Overview

Master Python Full Stack development in Kilpauk with expert-led courses tailored for all skill levels. Enhance your career with hands-on projects, real-world applications, and in-depth knowledge of front-end and back-end technologies at Code From Basics. Perfect for aspiring full stack developers in Kilpauk.

Syllabus

  • Introduction to Python programming language
  • Data types, variables, and operators
  • Control flow and loops
  • Functions and functional programming
  • Exception handling
  • File handling
  • Object-oriented programming concepts (classes, inheritance, polymorphism)

  • HTML5 and CSS3
    • Structure, semantics, and elements of HTML5
    • Styling with CSS3, including Flexbox and Grid layouts
  • JavaScript (ES6+)
    • Basics of JavaScript programming
    • DOM manipulation
    • Asynchronous programming with Promises and async/await
    • Fetch API and AJAX
  • Frontend Framework (Choose one)
    • js
      • Setting up a React application
      • Components, props, state management
      • Routing with React Router
      • Hooks and Context API
    • js
      • Vue instance, components, and directives
      • Single File Components (SFCs)
      • Routing with Vue Router
      • Vuex for state management

  • Web Frameworks (Choose one)
    • Django
      • Django architecture and MVC pattern
      • ORM (Object-Relational Mapping)
      • Forms, templates, and class-based views
      • Authentication and authorization
      • Django REST Framework for building APIs
    • Flask
      • Lightweight and flexible micro-framework
      • Routing, templates, and Jinja2 templating engine
      • Working with request and response objects
      • SQLAlchemy for database interaction
      • RESTful APIs with Flask-RESTful or Flask-RestPlus
    • Database
      • SQL (Optional)
        • Basic SQL queries (SELECT, INSERT, UPDATE, DELETE)
        • Relational databases (e.g., SQLite, PostgreSQL)
      • NoSQL
        • Basics of MongoDB or other NoSQL databases
        • Integrating NoSQL databases with Python frameworks

  • Git and GitHub
  • Collaborative development workflows (branches, pull requests, code reviews)

  • Docker basics for containerization
  • Continuous Integration/Continuous Deployment (CI/CD) pipelines
  • Deployment to cloud platforms (e.g., AWS, Google Cloud Platform, Heroku)
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