[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 64 156 subscribers, ranking 2 042 in the Technologies & Applications category and 9 505 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 64 156 subscribers.
According to the latest data from 07 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 196 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 16.22%. Within the first 24 hours after publication, content typically collects 9.48% reactions from the total number of subscribers.
- Post reach: On average, each post receives 10 408 views. Within the first day, a publication typically gains 6 081 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 64.
- 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 08 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.
bash
$ pip install opencv-python
⬇️ Скачай XML-файлы классификаторов:
haarcascade_frontalface_default.xml
haarcascade_eye.xml
Код:
python
import cv2 as cv
def detect_faces_and_eyes():
"""
Detects faces and eyes in real-time using the webcam.
Press 'q' to exit the program.
"""
# Load the pre-trained classifiers for face and eye detection
face_cascade = cv.CascadeClassifier(r"..\libs\haarcascade_frontalface_default.xml")
eye_cascade = cv.CascadeClassifier(r"..\libs\haarcascade_eye.xml")
# Open the webcam
cap = cv.VideoCapture(0)
while cap.isOpened():
# Read a frame from the webcam
flag, img = cap.read()
# Convert the frame to grayscale for better performance
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
# Detect faces in the frame
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=7)
# Detect eyes in the frame
eyes = eye_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=7)
# Draw rectangles around faces and eyes
for x, y, w, h in faces:
cv.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 1)
for a, b, c, d in eyes:
cv.rectangle(img, (a, b), (a + c, b + d), (255, 0, 0), 1)
# Display the resulting frame
cv.imshow("Face and Eye Detection", img)
# Check for the 'q' key to exit the program
key = cv.waitKey(1)
if key == ord("q"):
break
# Release the webcam and close all windows
cap.release()
cv.destroyAllWindows()
if __name__ == "__main__":
# Call the main function
detect_faces_and_eyes()
✅ Реагирует на движение, показывает всё в терминале;
✅ Работает на любом ноуте;
✅ Идеально для проектов по компьютерному зрению.
Сохрани — пригодится! 👍
#python #soft #code
Available now! Telegram Research 2025 — the year's key insights 
