[PYTHON:TODAY]
Python скрипты, нейросети, боты, автоматизация. Всё бесплатно! Приват: https://boosty.to/pythontoday YouTube: https://clck.ru/3LfJhM Канал админа: @akagodlike Чат: @python2day_chat Сотрудничество: @web_runner Канал в РКН: https://clck.ru/3GBFVm
Show more📈 Analytical overview of Telegram channel [PYTHON:TODAY]
Channel [PYTHON:TODAY] (@python2day) in the Russian language segment is an active participant. Currently, the community unites 64 152 subscribers, ranking 2 038 in the Technologies & Applications category and 9 502 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 64 152 subscribers.
According to the latest data from 05 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 205 over the last 30 days and by -6 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 15.86%. Within the first 24 hours after publication, content typically collects 9.25% reactions from the total number of subscribers.
- Post reach: On average, each post receives 10 176 views. Within the first day, a publication typically gains 5 932 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 67.
- Thematic interests: Content is focused on key topics such as github, soft, install, pip, docker.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Python скрипты, нейросети, боты, автоматизация. Всё бесплатно!
Приват: https://boosty.to/pythontoday
YouTube: https://clck.ru/3LfJhM
Канал админа: @akagodlike
Чат: @python2day_chat
Сотрудничество: @web_runner
Канал в РКН: https://clck.ru/3GBFVm”
Thanks to the high frequency of updates (latest data received on 07 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
pip install faker
⚙️ Пример использования:
from faker import Faker
from typing import Dict, Any
fake = Faker("ru_RU")
def generate_fake_user() -> Dict[str, Any]:
"""
Генерация случайного пользователя с основными полями.
Возвращает словарь с данными.
"""
return {
"name": fake.name(),
"address": fake.address(),
"email": fake.email(),
"job": fake.job(),
"country": fake.country(),
"latitude": fake.latitude(),
"longitude": fake.longitude(),
"url": fake.url(),
}
if __name__ == "__main__":
user = generate_fake_user()
for key, value in user.items():
print(f"{key}: {value}")
Что умеет:
➡️ создаёт данные под разные страны и языки (ru_RU, en_US, de_DE и др.);
➡️ подходит для тестирования, обучения API;
➡️ позволяет кастомизировать шаблоны и формат вывода.
Лучший друг тестировщика, разработчика и всех, кто не любит руками забивать данные 😎
#python #soft$ git clone https://github.com/z0m31en7/Uscrapper.git
$ cd Uscrapper/install/
$ chmod +x ./install.sh && ./install.sh
▶️ Запуск:
$ python Uscrapper-vanta.py [-h] [-u URL] [-O] [-ns] [-c CRAWL] [-t THREADS] [-k KEYWORDS [KEYWORDS ...]] [-f FILE]
♎️ GitHub/Инструкция
#python #soft #code #github
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