Sep 26 2023 Mastering Rest Apis With Fastapi By Jose Salvatierra BaDshaH LEARNING / e-learning - Tutorials 21:32 0 Published 9/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 3.50 GB | Duration: 8h 48mBuild professional APIs using FastAPI, including 100% test coverage, background tasks, user authentication, and more! What you'll learnGain broad experience with FastAPIUnderstand how to test FastAPI apps using Pytest with 100% test coverageBecome a master of logging with the built-in logging moduleAdd user authentication with password hashing and Bearer tokensUse an async SQL database and model one-to-many and many-to-many relationshipsSend user emails when they register without a performance hit using background tasksHandle file uploads and store them in a third-party serviceDeploy your FastAPI apps to the cloudRequirementsSome prior programming experience in any programming language.All software used in the course is provided, and completely freeComplete beginners may wish to take a beginner Python course first, and then transition to this course afterwardsDescriptionWith FastAPI you can build complete, high-performance APIs in days, and adding new features is blazing-fast. That's why FastAPI has become so popular in recent years.In this course, I'll show you how to go from a blank slate to a complete, finished FastAPI application.The projectWe'll build social media API with user authentication, email sending, and file upload. Users will be able to register and log in using Bearer (JWT) tokens. They will be able to create posts, leave comments, and like existing posts.We'll use Pydantic for data validation and encode/databases as our database connectivity library.Advanced knowledgeUse background tasks in FastAPI to improve performance when running slow code, such as when sending emails (covered in the course) or when making slow requests to third party APIs (also covered).Throughout the course we use an async database library, again to maximise performance, which is nonetheless straightforward to use. You'll learn about the different types of data relationships and how to model them, including many-to-many relationships.You'll learn how to handle file uploads and what to do with the uploaded files, so you don't run out of server space.Complete API testingFinally, 100% of the code in this course has tests. You'll use pytest extensively to write integration and unit tests for the API. You'll learn about pytest fixtures, parametrization, and testing conventions.Part of real-world development means logging! There's a lot of logging knowledge in this course, including how to set up the logging module properly, when to make logging calls, and where to store logs when your application is deployed.DeploymentsOf course, I'll show you how to deploy your FastAPI app using popular service Render. You can deploy your FastAPI app for free, but I'll also show you some paid options for improved performance.We'll also look at application management, error handling with Sentry, and CI/CD with GitHub Actions.If you use or want to use FastAPI, this course contains everything you need to develop complete, real-world APIs.Let's get started. I'll see you on the inside!OverviewSection 1: Course IntroductionLecture 1 CommunityLecture 2 Instructions - Join the CommunityLecture 3 Welcome to this course!Lecture 4 Platform features and note-takingLecture 5 You can do it!Lecture 6 What is an API?Lecture 7 What is REST?Section 2: Working with FastAPILecture 8 Introduction to this sectionLecture 9 Your First FastAPI AppLecture 10 Initial App SetupLecture 11 Linting, formatting and sorting importsLecture 12 Our social media API: adding postsLecture 13 Splitting our API into files with APIRouterLecture 14 Adding comments to the social medical APISection 3: Introduction to pytestLecture 15 Introduction to the pytest sectionLecture 16 The basics of pytestLecture 17 Getting started with FastAPI testsLecture 18 Creating posts in our testsLecture 19 Adding tests for postsLecture 20 Adding comments testsSection 4: Working with async databasesLecture 21 Introduction to working with databasesLecture 22 Installing requirements for async databases in FastAPILecture 23 Creating a config file using PydanticLecture 24 Different configurations per environment inLecture 25 Config caching and how to get the config objectLecture 26 Async database setup with FastAPILecture 27 Database connection with lifespan events in FastAPILecture 28 Run your FastAPI test in 'test' modeLecture 29 Using a database in our FastAPI routerSection 5: Logging in FastAPI applicationsLecture 30 Introduction to loggingLecture 31 Python logging: loggers, handlers, and formattersLecture 32 Logger hierarchies and __name__Lecture 33 Adding Logging Configuration for FastAPI ApplicationsLecture 34 How to configure multiple loggers in the logging moduleLecture 35 Adding File Handlers for Saving LogsLecture 36 Python logging: filters and custom filtersLecture 37 Logging HTTPExceptions with an Exception HandlerLecture 38 Add logging to your FastAPI endpointsLecture 39 Identifying logs from the same request: Correlation IDLecture 40 Adding JSON-formatted log filesLecture 41 Obfuscating email addresses in logs using a custom filterLecture 42 Adding Logtail for Cloud Logging in FastAPILecture 43 Enabling Logtail in only in productionSection 6: User authentication with FastAPILecture 44 Introduction to user authenticationLecture 45 Installing requirements and, what are JWTs?Lecture 46 Adding a users table and retrieving users by emailLecture 47 Adding user registration and testsLecture 48 Adding tests for the user registration endpointLecture 49 How to hash passwords with passlibLecture 50 Generate the access tokenLecture 51 Retrieve the current user with their tokenLecture 52 Use the current user in the API routerLecture 53 Dependency injection: getting the userLecture 54 Adding user relationships to other tablesSection 7: Many-to-many relationshipsLecture 55 Introduction to many-to manyLecture 56 Adding a table for post likesLecture 57 Adding an API route to like postsLecture 58 Extracting reusable queries with SQLAlchemyLecture 59 Query string arguments and data sorting with EnumSection 8: User email confirmationLecture 60 Creating the confirmation tokenLecture 61 Decoding the confirmation tokenLecture 62 Adding a user confirmation endpointLecture 63 Requiring user confirmation for authenticated requestsLecture 64 Mailgun set-up and configurationLecture 65 Sending emails and testing with PythonLecture 66 Sending a confirmation email on registrationLecture 67 Sending emails with background tasksSection 9: File Uploads with FastAPILecture 68 Account setup for Backblaze B2Lecture 69 Our configuration for Backblaze B2Lecture 70 Internal library for Backblaze B2Lecture 71 Writing our file upload endpointLecture 72 Writing tests for file uploadSection 10: Background Tasks for Image GenerationLecture 73 Model and database changes for image generationLecture 74 Configuration for DeepAI, our third party serviceLecture 75 Generating images using background tasksLecture 76 Executing image generation in our FastAPI endpointSection 11: FastAPI Deployments and Application ManagementLecture 77 Updating our project to Pydantic v2Lecture 78 Deploy a FastAPI app to RenderLecture 79 Add a free PostgreSQL database to your FastAPI appLecture 80 Error management with Sentry for FastAPI appsLecture 81 Continuous Integration with GitHub Actions for Python appsSoftware developers looking to expand their skill-set by learning to develop professional grade FAST APIs,Students wanting to extend the capabilities of mobile and web applications by using server-side technologiesHomepagehttps://www.udemy.com/course/rest-api-fastapi-python/Download From Rapidgatorhttps://rapidgator.net/file/60e5a72ee839d0faa13b5d9418e1fad4https://rapidgator.net/file/9de7f787217ca13e08e0ea7bb17ff434https://rapidgator.net/file/fba58f39e7361e49b22c013208b004eehttps://rapidgator.net/file/1975288079d1cb571c858643e99db4e1Download From 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