Programming in Python with ChatGPT. Write your own Telegram bot for monitoring exchange rates.

What Will You Learn?

• Basics of Python
• You will learn the basic elements of Python, such as variables, loops, functions, data structures, file handling, and modules. This knowledge will serve as a foundation for creating and improving your Telegram bot.
• Creating Telegram Bots
• Learn how to create a Telegram bot from scratch using the python-telegram-bot library. You will discover how to set up the bot, handle user messages, and add interactive commands.
• Working with ChatGPT to Enhance the Bot
• You will understand how to use ChatGPT to create dialogues, responses, and automate interactions with users. ChatGPT will help you add artificial intelligence to your bot, making it more "intelligent."
• Working with APIs and Data Processing
• Learn how to interact with external APIs to retrieve data, in this case — exchange rates. You will learn how to send requests, process responses, and transform data for use in the bot.
• Designing and Expanding Functionality
• You will be able to design the bot's architecture, add new features, and make the code more organized and maintainable. At this stage, you will learn not only to program but also to develop product logic.
• Code Optimization and Error Handling
• You will understand how to improve code performance, find and fix errors, and avoid common issues in Python code.
• Project Deployment
• You will learn how to deploy the bot in a real environment so that it is accessible to users on Telegram. Steps for server setup and bot launch automation will be covered.
• Creating Automated Solutions
• Developing such a bot will give you experience in creating automated solutions that can be applied to other projects requiring data monitoring or user interaction.
• Testing and Debugging Skills
• You will gain skills in testing your code to ensure the correct functionality and learn debugging methods to find and fix errors.
• Using ChatGPT and Python for Real Projects
• You will see how artificial intelligence and Python can be applied to create useful projects and gain confidence for further experiments with these technologies.