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📈 Аналитический обзор Telegram-канала Python Projects & Free Books

Канал Python Projects & Free Books (@pythonfreebootcamp) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 40 926 подписчиков, занимая 3 337 место в категории Технологии и приложения и 10 047 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 40 926 подписчиков.

Согласно последним данным от 05 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 175, а за последние 24 часа — 29, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 4.03%. В первые 24 часа после публикации контент обычно набирает 0.77% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 1 649 просмотров. В течение первых суток публикация набирает 314 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 5.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как learning, analyst, framework, link:-, structure.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
Python Interview Projects & Free Courses Admin: @Coderfun

Благодаря высокой частоте обновлений (последние данные получены 07 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

40 926
Подписчики
+2924 часа
+517 дней
+17530 день
Архив постов
Building Modern GUIs with Tkinter and Python

https://topmate.io/analyst/907371 If you're a job seeker, these well structured document resources will help you to know and learn all the real time Python Interview questions with their exact answer. folks who are having 0-4+ years of experience have cracked the interview using this guide! Please use the above link to avail them!👆 NOTE: -Most data aspirants hoard resources without actually opening them even once! The reason for keeping a small price for these resources is to ensure that you value the content available inside this and encourage you to make the best out of it. Hope this helps in your job search journey... All the best!👍✌️

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Python code To download from Youtube from pytube import YouTube # Enter the YouTube video URL url = "https://www.youtube.com/watch?v=dQw4w9WgXcQ" # Create a YouTube object with the URL yt = YouTube(url) # Select the highest resolution video video = yt.streams.get_highest_resolution() # Set the output directory and filename output_dir = "/storage/emulated/0/Documents/" filename = yt.title+".mp4" # Download the video video.download(output_dir, filename) print(f"Download complete: {filename}")

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Essential Python Libraries for Data Analytics 😄👇 Python Free Resources: https://t.me/pythondevelopersindia 1. NumPy: - Efficient numerical operations and array manipulation. 2. Pandas: - Data manipulation and analysis with powerful data structures (DataFrame, Series). 3. Matplotlib: - 2D plotting library for creating visualizations. 4. Scikit-learn: - Machine learning toolkit for classification, regression, clustering, etc. 5. TensorFlow: - Open-source machine learning framework for building and deploying ML models. 6. PyTorch: - Deep learning library, particularly popular for neural network research. 7. Django: - High-level web framework for building robust, scalable web applications. 8. Flask: - Lightweight web framework for building smaller web applications and APIs. 9. Requests: - HTTP library for making HTTP requests. 10. Beautiful Soup: - Web scraping library for pulling data out of HTML and XML files. As a beginner, you can start with Pandas and Numpy libraries for data analysis. If you want to transition from Data Analyst to Data Scientist, then you can start applying ML libraries like Scikit-learn, Tensorflow, Pytorch, etc. in your data projects. Share with credits: https://t.me/sqlspecialist Hope it helps :)

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Tips to Merge two dictionary
boy={"ram":70,"Sundar":80}

girl={"riya":80,"Sonali":70}

student=boy | girl

print(student)

Scrap Image from bing using BeautifulSoup import requests from bs4 import BeautifulSoup as BSP def split_url(url): return url
Scrap Image from bing using BeautifulSoup
import requests
from bs4 import BeautifulSoup as BSP

def split_url(url):
    return url.split('&')[0]

def get_image_urls(search_query):
    url = f"https://cn.bing.com/images/search?q={search_query}&first=1&cw=1177&ch=678"
    headers = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"
    }
    rss = requests.get(url, headers=headers)
    soup = BSP(rss.content, "html.parser")

    all_img = []
    for img in soup.find_all('img'):
        img_url = img.get('src2')
        if img_url and img_url.startswith('https://tse2.mm.bing.net/'):
            img_url = split_url(img_url)
            all_img.append(img_url)

    return all_img

print(get_image_urls("cat"))
sample response :
['https://tse2.mm.bing.net/th?q=Cat+Portrait', ...']

Scrap Image from google using BeautifulSoup
import requests
from bs4 import BeautifulSoup as BSP

def get_image_urls(search_query):
    url = f"https://www.google.com/search?q={search_query}&tbm=isch"
    headers = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"
    }
    rss = requests.get(url, headers=headers)
    soup = BSP(rss.content, "html.parser")

    all_img = []
    for img in soup.find_all('img'):
        src = img['src']
        if not src.endswith("gif"):
            all_img.append(src)

    return all_img

print(get_image_urls("boy"))

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