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所在平台: Udemy |
课程主页: https://www.udemy.com/course/django-python-advanced/
课程评论：没有评论
课程名称：使用 Python 和 Django 构建后端 REST API - 高级课程 课程概述：此课程需要从 Docker 网站下载 Docker Desktop。如果您是 Udemy Business 用户，请在下载软件之前与您的雇主确认。欢迎参加关于如何使用 Python、Django (3.2)、Django REST Framework (3.12)、Docker、GitHub Actions、Postgres 和测试驱动开发 (TDD) 构建后端 REST API 的高级课程！无论你是自由程序员、技术企业家，还是刚刚开始构建后台，这门课程将帮助你打下知识基础，并提供提升你技能的工具，因为这些编程语言在今天的市场上十分抢手。 API 是我们日常使用的技术背后的无名英雄。对于任何技术型企业来说，API 是一个至关重要的组成部分。因此，了解如何从头到尾创建 API 是开发者必备的技能。在这门课程中，我将展示如何构建一个高级 API，处理用户资料的创建和更新、密码的更改、对象的创建、图片的上传、对象的过滤和搜索等功能。 你将和我一起实践，构建一个食谱 API。你将学习如何构建一个允许上传和存储你喜欢的食谱（来自照片和网络）的高级 API。你将学会创建对象（例如带有标题、价格、烹饪时间、成分和标签如“舒适食品”、“素食”或“甜点”的食谱）。通过这门课程结束时，你将建立一个完全能够处理以下功能的 REST API： - 用户身份验证 - 创建对象 - 过滤和排序对象 - 上传和查看图片 此外，你将详细学习如何： - 使用 Docker 和 Docker-Compose 设置项目 - 配置 GitHub Actions 以自动运行代码检查和单元测试 - 使用 Django 测试框架编写单元测试 - 应用最佳实践原则，包括测试驱动开发 - 使用 Django 处理媒体文件上传 - 自定义 Django 管理后台 - 配置 Postgres 数据库 本课程的目标是教你如何从初始到完成创建一个高级 API，遵循最佳实践原则和测试驱动开发。如果你希望学习如何构建 API、前端和部署，或寻求在一门课程中构建 10 个不同的应用程序，这门课程不适合你。它是一个以实践为主的课程，结合了一些理论和大量测试知识的机会。内容具有挑战性但回报丰厚。准备好了吗？让我们开始吧！ 注意：Windows 10 家庭版无法运行 Docker，因为需要 Windows 10 专业版或企业版以使用 Hyper-V 进行虚拟化。在参加本课程之前，有两个选择，这将在第 6 讲中介绍，可以免费预览。
**NOTE: This course requires you to download Docker Desktop from Docker's website. If you are a Udemy Business user, please check with your employer before downloading software.**Welcome to the advanced course on how to Build a Backend REST API using Python, Django (3.2), Django REST Framework (3.12), Docker, GitHub Actions, Postgres and Test Driven Development! Whether you're a freelance programmer, tech entrepreneur, or just starting out building backends - this course will help lay the foundation of your knowledge base and give you the tools to advance your skills with some of the most in-demand programming languages today. APIs are the unsung heroes behind the technologies that we all love and use religiously. One of the most critical components for any tech-based business is an API. So knowing how to create an API from start to finish is a vital skill to have as a developer. You cannot build a successful app without a backend REST API!In this course I'll show you how to build an advanced API that handles creating and updating user profiles, changing passwords, creating objects, uploading images, filtering and searching objects, and more.The best way to learn anything is to do it. So the practical application of the course - the project that you'll build along side me - is an API. A recipe API, to be specific. You will learn how to build an advanced recipe API that allows you to upload and store some of your favourite recipes from photos and the web. You'll learn how to create objects i.e. recipes with titles, price points, cooking times, ingredients and tags like "comfort food", "vegan" or "dessert". Think of it as a virtual recipe box. By the end of this course you will have built a fully functioning REST API that can handle:User authenticationCreating objectsFiltering and sorting objectsUploading and viewing images You'll also learn, in detail how to:Setup a project with Docker and Docker-ComposeConfigure GitHub Actions to automatically run linting and unit testsWrite unit tests using the Django Test FrameworkApply best practice principles including Test Driven Development Handle uploading media files with DjangoCustomize the Django adminConfigure a Postgres databaseThis course has one singular focus: To teach you how to create an advanced API from start to finish using best practice principles and Test Driven Development. This course is NOT FOR YOU: If you're looking for a course to build an API, a front end, and deploymentIf you're looking to build 10 different apps in one courseIf you want to learn lots of different technologies and approaches to app development in general This is a hands-on course, with a bit of theory and lots of opportunities to test your knowledge. The content is challenging but rewarding. Ready for it? Let's dive in! **PLEASE NOTE: You cannot run Docker on Windows 10 Home edition. This is because Windows 10 Pro or Enterprise is required in order to use Hyper-V which Docker uses for virtualization. To take this course you have two options. These are covered in Lecture 6, which is free to preview before purchasing the course.
