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
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 2 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 7 months ago
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago
Chatfuel - Chatfuel is the best bot platform for creating an AI chatbot on Facebook.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
BotStar - BotStar | Engage Customers Online with Live Chat & Chatbots
OpenCV - OpenCV is the world's biggest computer vision library
Morph.ai - Morph.ai is an AI powered platform where businesses can build their own chatbots.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.