Create a stable, secure and production-grade RESTful API with Python, Django REST Framework, Google Cloud and Heroku
What you will learn
How to build a Backend REST API with Python and Django Rest Framework
How to setup a local development server for developing Django applications
How to implement advanced features such as uploading media files and background tasks into the Django API
How to deploy a Django application into a production environment using Google Cloud and Heroku
Hands on experience applying best practice principles to create a stable and secure RESTful API
How to use Postman for API Testing
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- Master RESTful API Design: Understand core REST principlesβresource identification, statelessness, and uniform interfacesβto design intuitive, scalable, and maintainable web services ready for any client.
- Architect Robust API Endpoints: Design and implement efficient API endpoints using Djangoβs ORM and Django REST Frameworkβs class-based views for seamless data retrieval and manipulation.
- Implement Advanced API Security: Secure your API with industry-standard authentication (Token-based, JWT) and granular permission classes, rigorously protecting valuable data and resources from unauthorized access.
- Optimize Data Flow with DRF Serializers: Gain expertise in data serialization/deserialization, translating complex Django models into concise JSON/XML formats using DRF serializers for efficient data exchange.
- Streamline Database Management: Harness Django’s ORM to define sophisticated data models, manage migrations effortlessly, and perform all necessary CRUD operations, building a solid and maintainable data layer.
- Craft Professional Error Handling: Develop a consistent strategy for error handling, status code management, and informative API responses, ensuring clear communication with clients and service robustness.
- Integrate Scalable Asynchronous Tasks: Learn to incorporate background tasks and asynchronous processing to prevent blocking operations, significantly improving your API’s responsiveness for long-running computations.
- Strategize Cloud Deployment: Master deploying Django REST APIs to production, leveraging Google Cloud Platform for robust infrastructure and Heroku for scalable application hosting, understanding each platform’s strengths.
- Cultivate a Secure Development Mindset: Internalize best practices for security throughout the development lifecycle, from secure coding to production environment configuration, empowering you to build inherently resilient web services.
- PROS:
- Comprehensive Skill Set: Acquire full-stack backend development capabilities, from API design to cloud deployment strategies.
- Industry-Relevant Technologies: Gain hands-on experience with highly demanded tools like Python, Django, DRF, Google Cloud, and Heroku.
- Practical, Production-Focused Learning: Emphasizes building stable, secure, and scalable APIs suitable for real-world commercial applications.
- Versatile Career Opportunities: Equip yourself for roles such as Backend Developer, API Developer, or Cloud Engineer across various industries.
- CONS:
- Potentially Steep Learning Curve: While comprehensive, learners new to Python, Django, REST principles, or cloud platforms might find the pace and breadth of topics challenging without prior programming fundamentals.
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