Python/ django
по всем вопросам @workakkk @itchannels_telegram - 🔥 все ит каналы @ai_machinelearning_big_data -ML @ArtificialIntelligencedl -AI @datascienceiot - 📚 @pythonlbooks РКН: clck.ru/3FmxmM
Show more📈 Analytical overview of Telegram channel Python/ django
Channel Python/ django (@pythonl) in the Russian language segment is an active participant. Currently, the community unites 58 964 subscribers, ranking 2 163 in the Technologies & Applications category and 10 234 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 58 964 subscribers.
According to the latest data from 04 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -170 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 6.23%. Within the first 24 hours after publication, content typically collects 3.54% reactions from the total number of subscribers.
- Post reach: On average, each post receives 3 675 views. Within the first day, a publication typically gains 2 090 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 24.
- Thematic interests: Content is focused on key topics such as github, claude, контекст, архитектура, api.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“по всем вопросам @workakkk
@itchannels_telegram - 🔥 все ит каналы
@ai_machinelearning_big_data -ML
@ArtificialIntelligencedl -AI
@datascienceiot - 📚
@pythonlbooks
РКН: clck.ru/3Fm...”
Thanks to the high frequency of updates (latest data received on 05 September, 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.
matplotlib в Python, используйте библиотеку gif.
Следующая анимация создана с помощью gif.
pip install gif
import gif
from random import randint
from matplotlib import pyplot as plt
x = [randint(0, 100) for _ in range(100)]
y = [randint(0, 100) for _ in range(100)]
# (Optional) Set the dots per inch resolution to 300
gif.options.matplotlib["dpi"] = 300
# Decorate a plot function with @gif.frame
@gif.frame
def plot(i):
xi = x[i*10:(i+1)*10]
yi = y[i*10:(i+1)*10]
plt.scatter(xi, yi)
plt.xlim((0, 100))
plt.ylim((0, 100))
# Construct "frames"
frames = [plot(i) for i in range(10)]
# Save "frames" to gif with a specified duration (milliseconds) between each frame
gif.save(frames, 'example.gif', duration=50)
• Github
@pythonl"Error based" by sending multiple requests with 14 payloads and checking for 152 regex patterns for different databases.
Python-скрипт, позволяющий обнаружить SQL-инъекции путем отправки нескольких запросов и проверки regex-шаблонами для различных баз данных.
• Github
@pythonlpip install python-barcode
Мы создадим штрихкод ISBN-13. Этот модуль поддерживает множество других типов штрихкодов.
Мы сгенерируем PNG-изображение штрихкода. Для просмотра изображения мы будем использовать модуль pillow. Установить pillow можно, выполнив команду:
pip install pillow
Мы передаем 12-значное число в виде строки.
• Githib
@pythonlgit clone https://github.com/rayventura/shortgpt.git
▪Github
▪Video
▪Colab
@pythonl