Telethon This function uses the Telethon library to connect to Telegram, obtain the corresponding user and channel objects through the phone number and channel username, and then invite the user to the channel. 2024-12-16 12:11:46 Telegram Bot 5 views
Celery The code defines a function named random_task that accepts a task name and data as arguments. It uses the Celery framework to create an asynchronous task that processes the data (simply doubling it in this case). The function returns the processed result. 2024-12-16 12:11:46 The type of code 5 views
Scrapy, requests, HtmlResponse, Selector, CSS selector This function retrieves HTML content from a specified URL and extracts all image URLs that match the given CSS selector. 2024-12-16 12:11:46 Scrapy third-party library custom functions 4 views
Flask, Flask-SQLAlchemy, SQLAlchemy The functions in the code are used to add, search by email, delete by ID, and update the email address of a user. The Flask-SQLAlchemy ORM features are used to interact with the database. 2024-12-16 12:11:45 The type of code 4 views
PyTorch This function generates a random matrix of a given number of rows and columns using the PyTorch library. 2024-12-16 12:11:45 Function 3 views
nltk.corpus.stopwords, nltk.tokenize.word_tokenize This function removes stopwords from the given text. Stopwords are common words that are generally considered to have little semantic value, such as 'and', 'the', 'is', etc. 2024-12-16 12:11:45 Text processing 22 views
Authlib, Flask, OAuth2 This function creates an OAuth2 session using the Authlib library, requiring client credentials and endpoints such as authorization and token endpoints. 2024-12-16 12:11:45 The type of code 3 views
PyNFC This function reads data from an NFC tag using the PyNFC library and returns the data as a list. 2024-12-16 12:11:44 Function 5 views
Keras, Tokenizer, pad_sequences, NumPy This function uses Keras' Tokenizer and pad_sequences methods to generate a random text of a specified length. 2024-12-16 12:11:44 Generate random text 3 views
Scikit-learn This function uses the Random Forest classifier to classify the given data. It first splits the data into training and testing sets, then trains the classifier using the Random Forest algorithm, and makes predictions on the test set. 2024-12-16 12:11:44 The type of code 6 views