Complete Backend (API) Development with Python A-Z
Course description
This course for anyone who wants to be python backend developer. You will learn what is API and some python API frameworks. You will find all the fundamentals about backend development in lectures. With this course, you will learn how to build secure, fast, scalable, documented and well tested API. Beside this, you will learn the caching and database best practices. This is not just an API framework course, this is complete course that teaches you everything about backend development. You will learn the best practices. You will see the best path of how to develop a good API.
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In this course you will learn fastapi python framework. It is the fastest and most convenient python framework. As a production environment you will learn digital-ocean cloud and as a deployment mechanism you will learn docker. This course starts from teaching what is API and ends with secure, tested, documented, cached and versioned best practice API. After this course you will be able to create your own API and create your own database and connect it from your API. Also you will get a domain name and put it to your API server. With load balancer, millions of users will be no more trouble. With nginx reverse proxy, you will be able to set any security or rate limit configuration to your API.
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All Course Lessons (40)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Who am I ? Demo | 02:12 | |
| 2 | Overview of the course. What is backend? | 04:35 | |
| 3 | What can you build after this course? | 01:44 | |
| 4 | What is API? | 03:40 | |
| 5 | Why python for API? | 01:32 | |
| 6 | Python API Frameworks - Sync vs Async | 03:00 | |
| 7 | What is JSON? | 01:33 | |
| 8 | HTTP Methods | 05:54 | |
| 9 | HTTP Status Codes | 07:36 | |
| 10 | Our sample project | 01:40 | |
| 11 | Look at other API's | 07:40 | |
| 12 | Setup environment for our API | 10:06 | |
| 13 | Hello world with fast api framework | 07:27 | |
| 14 | Helpful tools - Insomnia or Postman | 08:45 | |
| 15 | Python types, Pydantic models | 12:07 | |
| 16 | Naming for endpoints | 13:26 | |
| 17 | Creating enpoints | 43:56 | |
| 18 | Endpoints - Advance Cases | 17:45 | |
| 19 | Versioning | 09:55 | |
| 20 | Authentication | 01:03:09 | |
| 21 | Recap Authentication | 08:56 | |
| 22 | Middleware | 16:20 | |
| 23 | Documentation - Swagger | 35:31 | |
| 24 | Production Environement & Installments | 14:23 | |
| 25 | Creating PostgreSQL database with docker | 18:46 | |
| 26 | ORM vs Pure SQL | 34:07 | |
| 27 | Connecting endpoints to database | 01:00:26 | |
| 28 | Validation | 08:09 | |
| 29 | Cache with Redis | 28:46 | |
| 30 | Testing endpoints | 51:07 | |
| 31 | Load testing | 42:22 | |
| 32 | Deploying API to production environment | 50:26 | |
| 33 | Load Balancers | 38:40 | |
| 34 | Getting a domain | 08:43 | |
| 35 | Reverse Proxy | 42:56 | |
| 36 | HTTPS | 16:56 | |
| 37 | Auth 2.0 | 23:31 | |
| 38 | Final cut | 17:10 | |
| 39 | Backend Architecture | 10:02 | |
| 40 | Resources | 00:10 |
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