Create a stable, secure and production-grade RESTful API with Python, Django REST Framework, Google Cloud and Heroku
β±οΈ Length: 8.2 total hours
β 4.29/5 rating
π₯ 83,603 students
π November 2021 update
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Course Overview
- Dive deep into the architecture and implementation of robust web APIs using Python’s powerful ecosystem.
- Master the design principles behind creating stable, scalable, and secure RESTful services for diverse client applications.
- Understand the end-to-end lifecycle of an API, from conceptualization and development to testing and live deployment.
- Explore how Python and Django REST Framework combine to offer an efficient and elegant solution for backend development.
- Learn to construct backend infrastructure that powers modern web, mobile, and desktop applications.
- Gain insights into managing data flow, ensuring data integrity, and optimizing API performance.
- Prepare for real-world scenarios by building a production-grade API, capable of handling various data operations.
- Develop a strategic understanding of how cloud platforms facilitate seamless scaling and availability of your applications.
- Connect theoretical knowledge with practical application through a hands-on, project-driven learning experience.
- Position yourself to tackle advanced backend development challenges and contribute significantly to software projects.
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Requirements / Prerequisites
- A foundational understanding of Python programming concepts and syntax is essential.
- Familiarity with basic command-line interface (CLI) operations on your preferred operating system.
- A general grasp of how web applications work, including client-server communication and HTTP methods.
- No prior experience with Django, Django REST Framework, or cloud deployment is necessary; this course starts from the ground up.
- Access to a computer capable of running a development environment and an active internet connection.
- A curious mind and a dedication to learning new technologies and software development practices.
- Basic knowledge of database concepts, such as tables and relationships, will be beneficial but not strictly required.
- An eagerness to troubleshoot and debug code, viewing challenges as opportunities for growth.
- Comfort with installing development tools and setting up virtual environments to manage project dependencies.
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Skills Covered / Tools Used
- RESTful API Design: Principles of resource-oriented design, status codes, and HTTP verbs for clean API architecture.
- Data Modeling: Designing robust database schemas and defining relationships using Django’s ORM.
- Serialization & Deserialization: Efficiently transforming complex Python objects into JSON/XML and vice-versa for API data exchange.
- Authentication Strategies: Implementing secure user authentication methods, including token-based systems.
- Authorization Controls: Defining permissions and access rules to protect sensitive API endpoints and data.
- Database Management: Interacting with various databases via Django ORM for data storage and retrieval.
- Asynchronous Processing: Utilizing background task queues to handle long-running operations without blocking the API.
- Cloud Infrastructure: Navigating the core services of Google Cloud Platform and Heroku for hosting and scaling applications.
- Environment Configuration: Setting up distinct configurations for development, testing, and production environments.
- API Testing: Employing industry-standard tools like Postman for comprehensive testing and validation of API endpoints.
- Security Hardening: Implementing measures to prevent common web vulnerabilities, such as CSRF, XSS, and injection attacks.
- Performance Optimization: Techniques for caching, database query optimization, and reducing API response times.
- Version Control: Best practices for using Git to manage codebase, collaborate with teams, and deploy updates.
- Dependency Management: Effectively using `pip` and virtual environments to maintain project-specific dependencies.
- Error Handling & Logging: Implementing robust systems to gracefully manage errors and monitor API health.
- Containerization Fundamentals: Understanding concepts related to packaging applications for consistent deployment across environments.
- Web Server Configuration: Basic setup and interaction with WSGI servers like Gunicorn for serving Django applications.
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Benefits / Outcomes
- Construct a fully functional and secure RESTful API, ready for integration with various frontend applications.
- Acquire the practical skills needed to design, develop, and deploy a Python/Django backend from scratch.
- Build a strong portfolio project that showcases your expertise in modern API development and cloud deployment.
- Unlock career opportunities in backend development, API engineering, or full-stack web development roles.
- Gain confidence in tackling complex system architectures and designing scalable software solutions.
- Become proficient in utilizing leading cloud platforms (Google Cloud and Heroku) for professional application hosting.
- Understand the critical importance of security and best practices in building reliable and trustworthy APIs.
- Develop problem-solving abilities applicable to real-world challenges in software development and integration.
- Solidify your understanding of the entire software development lifecycle for web APIs.
- Be capable of creating the backbone for e-commerce sites, social networks, SaaS platforms, and more.
- Enhance your marketability and stand out in the competitive landscape of technology professionals.
- Master the tools and techniques that are highly valued by employers in the tech industry.
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PROS
- Comprehensive Coverage: Takes learners through the entire process from local development to production deployment on multiple cloud platforms.
- Industry-Relevant Technologies: Focuses on highly demanded and widely used tools like Python, Django REST Framework, Google Cloud, and Heroku.
- Practical, Hands-On Approach: Emphasizes building real-world projects to solidify understanding and develop practical skills.
- Focus on Best Practices: Teaches principles for creating secure, stable, and maintainable APIs, crucial for professional development.
- Solid Foundation: Provides a strong base for future learning in advanced backend architectures, microservices, and specialized API development.
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CONS
- While comprehensive, a foundational grasp of Python programming is beneficial for optimal absorption of advanced concepts.
Learning Tracks: English,Development,Web Development
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