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所在平台: Udemy |
课程主页: https://www.udemy.com/course/build-an-interactive-telegram-bot-using-django/
课程评论：没有评论
课程名称：使用 Django 构建互动 Telegram 机器人 课程概述：在本课程中，我们将构建一个与 Django 后端交互的 Telegram 机器人。我们将使用 IntelliJ IDEA 作为开发环境，为第三方提供服务并将这些服务集成到 Telegram 机器人中。课程中将添加多种功能选项，以确保最终用户的实用性。课程的结束部分，我们会将代码推送到 GitHub，并在 EC2 上进行部署。我们会使用 Supervisor 来管理进程，并集成 Sentry 以处理项目中的运行时异常。此外，我们还将使用 Fabfile 来实现服务器的自动部署。 关于所用工具的简要介绍： - Telegram 机器人：机器人是由软件操控的 Telegram 帐户，具备 AI 特性，可以进行教学、娱乐、搜索、广播、提醒、连接、与其他服务集成，甚至传递命令给物联网设备。 - Django：Django 是一个高级 Python Web 框架，旨在鼓励快速开发和清晰、实用的设计。由经验丰富的开发人员开发，它能够处理 Web 开发中的许多繁琐工作，使开发者能够更专注于应用程序的编写，避免重复发明轮子。此外，Django 是免费的和开源的。 - EC2：亚马逊弹性计算云 (Amazon EC2) 是一项网络服务，提供安全、可调整的云计算能力，旨在简化大规模云计算的开发。EC2 的简单 Web 服务接口使得用户可以轻松获取和配置计算能力，提供全面的计算资源控制，并让开发者在亚马逊经过验证的计算环境中运行应用。 本课程适合希望掌握构建 Telegram 机器人和相应后端开发技能的学员。
In this course, we are going to build a Telegram bot which will interact with the Backend built with Django.IDE we are going to use is IntelliJ IDEA.We will write the services for Third Party.Integrate these services to Telegram Bot.Will add a lot of options in Telegram in order to make it useful for the end user.We will Push the code to GithubFinally we will deploy the code on EC2.Supervisor in to demonising the processIntegrate Sentry for Runtime exception in ProjectsUse Fabfile for auto deployment on Servers.Brief About what we are going to use.Telegram Bot: Bots are simply Telegram accounts operated by software - not people - and they'll often have AI features. They can do anything - teach, play, search, broadcast, remind, connect, integrate with other services, or even pass commands to the Internet of Things.The problem we are going to solveDjango:Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design. Built by experienced developers, it takes care of much of the hassle of Web development, so you can focus on writing your app without needing to reinvent the wheel. It's free and open source.Ec2:Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers. Amazon EC2's simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon's proven computing environment.
