Telegram bot API
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Is not that hard, they have amazing documentation about it: https://core.telegram.org/bots. Source: 11 months ago
You can make authorization via Telegram another way. It works. But today we want to do the classic OAuth Authorization. Before you begin, you need to create a Telegram bot and obtain your bot token. You can do this in @BotFather in Telegram. For more information on initiating a bot, read the Telegram Bot API documentation: https://core.telegram.org/bots. - Source: dev.to / about 1 year ago
Creating a Telegram bot is fun: there's no website, no sign up, no forms — you just use a... bot. Yes, a bot that creates bots. It's called the BotFather 😂. - Source: dev.to / over 1 year ago
It's done via bots, which let you add clickable options to posts. Here's an FAQ on bots: https://core.telegram.org/bots. Source: almost 2 years ago
We'll create a class Bot, which will be the core of our program (that's unsurprising, considering we're writing the telegram bot). During its instantiation, it will read the token from your telegram bot (to learn how to register one go here) and build a basic bot app. Along with this, we're gonna add two async methods to our class, which will serve as message handlers (functions that are invoked when a specific... - Source: dev.to / almost 2 years ago
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / 14 days ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / about 1 month ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 25 days ago
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 3 months ago
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
Chatfuel - Chatfuel is the best bot platform for creating an AI chatbot on Facebook.
NumPy - NumPy is the fundamental package for scientific computing with Python
BotStar - BotStar | Engage Customers Online with Live Chat & Chatbots
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Morph.ai - Morph.ai is an AI powered platform where businesses can build their own chatbots.
OpenCV - OpenCV is the world's biggest computer vision library