PYTHON DJANGO
Course description
Embark on a comprehensive journey into Python full stack development with Django. This immersive course equips you with the skills needed to build dynamic web applications from scratch. Dive into Python fundamentals and quickly progress to mastering the Django framework, where you'll learn to develop robust backend systems, integrate databases seamlessly, and handle user authentication and authorization. Explore advanced concepts such as building RESTful APIs with Django Rest Framework, ensuring your applications are equipped for modern web development standards. Throughout the course, you'll delve into essential topics like deployment strategies, testing methodologies, and security best practices, ensuring your applications are scalable, secure, and performant. With hands-on projects and practical exercises, you'll gain real-world experience, culminating in the development of a full-stack web application. Whether you're a beginner or an experienced developer, this course provides a solid foundation for building professional-grade web applications using Python and Django. Join us and elevate your skills.
What you'll learn
Mastering Django ORM and Models Advanced Querysets and Managers Query Optimization: Aggregations, Annotations, F Expressions Using Raw SQL Queries and Managing Transactions Custom Model Fields and Validators Abstract Models, Multi-Table Inheritance, and Proxy Models Leveraging Django Signals for Decoupled Logic Views, Forms, and Security Advanced Class-Based Views (CBVs) and Generic Views Dynamic Forms and Advanced Form Handling Customizing and Using Formsets and ModelFormsets File Uploads and Image Handling in Django Implementing Security Features: CSRF, XSS, and SQL Injection Mitigation Secure Password Management Two-Factor Authentication Debugging and Enhancing Middleware Templates, Localization, and Middleware Advanced Template Features: Custom Template Tags and Filters Template Inheritance and Optimization Internationalization and Localization: Translating Models and Templates Time Zone Handling Building Multi-Language Applications Writing and Debugging Custom Middleware Django REST Framework (DRF) and Asynchronous Django Setting Up and Using Django REST Framework (DRF): Serializers, ModelSerializers, and Nested Serializers Advanced API Filtering, Pagination, and Ordering Authentication and Permissions API Versioning, Throttling, and Documentation with Swagger Introduction to Asynchronous Django: Django Channels and WebSockets Building Real-Time Applications (e.g., Chat App, Notifications) Scaling, Performance, and Task Management Caching Strategies Query Caching with Redis Full-Page and Template Fragment Caching Optimizing Database Queries Task Queues and Background Jobs: Setting Up Celery with Django Scheduling Periodic Tasks with Celery Beat Testing and Quality Assurance: Writing Unit and Integration Tests Mocking and Test Factories CI/CD Automation for Testing and Deployment Deployment, Scalability, and Final Capstone Project Deployment Techniques: Setting Up Production Servers (NGINX, Gunicorn) Containerization with Docker Deploying on Cloud Platforms (AWS, Azure, GCP) Implementing CI/CD Pipelines: Automating Deployments with GitHub Actions Configuring Jenkins for Django Projects Monitoring and Scaling: Using ELK Stack for Monitoring Implementing Load Balancers and Scaling Applications Capstone Project: End-to-End Application Development and Deployment Project Presentation and Review
Program details
Introduction to Python
Dive into Python programming language, its syntax, and basic concepts..
Data Types and Variables
Learn about different data types in Python such as integers, strings, lists, tuples, and dictionaries..
Control Flow
Understand decision-making with if statements, loops with for and while, and exception handling..
Functions and Modules
Explore function definitions, parameters, return statements, and how to organize code into modules..
File Handling
Work with files, including reading from and writing to files..
Object-Oriented Programming
Introduce object-oriented programming concepts like classes, objects, inheritance, and polymorphism..
Data Structures
Study advanced data structures such as sets and comprehensions..
Libraries and Packages
Utilize Python libraries and external packages for various functionalities..
Web Scraping
Learn how to extract data from websites using libraries like Beautiful Soup..
Project Development
Apply Python skills to develop a practical project, integrating all learned concepts..