
Explore how Telegram bots, software-driven accounts built with Python, handle messages, commands, and inline requests, and enable notifications, group management, and integrations with third-party services.
Create your first bot by opening Telegram, starting a new bot with /newbot, choosing a name, setting a username that ends with bot, and securing the API token.
Explore telegram bot settings: revoke a compromised token, edit bot name, description, picture, and commands; enable inline mode, allow groups, adjust group privacy, domain option for oauth, and payments.
Discover Telegram bot limitations: only users start chats; after the first message, bots respond, with 30 messages per second, 20 MB uploads, 50 MB sends, default file_id, raise limits.
Compare polling and webhooks to handle Telegram messages, showing polling as easier for development and testing, while webhooks offer faster updates for large bot user bases.
Learn to build Telegram bots with Python by exploring the Telegram Bot API, handling tokens, viewing updates, sending messages and media, and using parse mode and keyboards.
Build an echo bot with Telegram API in Python by looping get updates, decoding JSON, and replying with the same text or a photo notice via send message.
Explore Telegram bot libraries, including synchronous and asyncio options, and use pyTelegramBotAPI to create a bot with start and help handlers, echo behavior, and advanced filters.
Learn how to format Telegram bot messages with Python using Markdown or HTML, including bold, italic, inline links, and code blocks, and apply parse_mode in responses.
Discover how to use Telegram keyboards in a Python bot, including plain and inline keyboards, request location or phone, plus keyboard markup, resizing, and removal.
Learn how to use inline keyboard buttons in Telegram bots with Python, including URL, login URL, and callback data, and how to switch inline queries and respond with photos.
Explore how to use Telegram's force reply feature in Python bots, implement a handler that sends text with force reply markup, and test interactive, step-by-step conversations.
Learn how to improve bot responsiveness by using Telegram's send chat action to show typing or other actions while processing long tasks, instead of freezing users with delays.
Discover Telegram deep linking to power a referral system using Python. Build a generate command, create a start payload, and share a link via an inline button.
Learn how to update Telegram bot messages by editing text, media, captions, and markup, and handling deletion and polling, with practical examples of edit caption, edit media, and edit keyboard.
Enable Telegram inline mode, handle inline queries, and return article results using file ids with a 300-second cache, while building and testing bot in PyCharm from a JSON API-method map.
Build Telegram bot with Python by implementing a conversation handler using a finite state machine. Guide users through a reservation flow—date, person count, and phone—with in-memory storage and keyboard prompts.
Learn to build a Telegram bot gallery with pagination using an inline keyboard to navigate photos stored in a json file, loading into a dict, and updating messages.
Build a Telegram bot in Python that shortens long links, tracks clicks, and displays top links, with data stored in SQLite and cron updates hourly.
Generate a Bitly access token by creating or logging into your Bitly account, then copy the token into your project's config file to shorten URLs for your Telegram bot.
Create a database with a sqlite client by creating a new database, choosing a storage path, naming the table, adding required fields, saving changes, and verifying the table in PyCharm.
Create a Python Telegram bot by importing the token from config, creating a bot instance, and implementing start, help, and about handlers with a main keyboard and two buttons.
Create the telegram bot database api with sql alchemy, delivering four functions: create records, fetch short links, update clicks counts, and get top links with created_after filtering.
Create a Python Telegram bot that shortens links with Bitly, checks clicks via the Bitly API, and updates database with short links and clicks. Learn message handling, URL validation, testing.
Create and test a Telegram bot feature that shows top link clicks via a start handler with top links button and callbacks for last day, querying database and displaying results.
Implement a crone updater for a Python Telegram bot that auto-refreshes link click counts by looping through database links, updating counts in a background thread every 30 minutes.
store your code in a version control system using GitHub, save dependencies with pip freeze, create a new repository, upload files, and view the repo URL.
Compare hosting options for Telegram bots: Heroku's free tier restarts daily, clearing sqlite data; DigitalOcean offers a $5/month VPS; Google Cloud provides a $300 new-user credit.
Create a Google compute engine vps, install git and Python, set up and run a Telegram bot in the background, and test it from Telegram on a US-hosted server.
Access the course GitHub page to find all code examples and the development repo URL. Join Stack Overflow, both talk group, botoid group, and resources for python-telegram-bot, pyTelegramBotApi, and aiogram.
In this course, you will go from creating a bot, discovering all possible settings to exposing all power of Bot API and creating a real-world application. The course presents basic and advanced components of bots and has a lot of quizzes. His main feature that it is based not only on theory but also on questions from the beginner's bot developers.