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Python Projects & Free Books

Python Projects & Free Books

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Python Interview Projects & Free Courses Admin: @Coderfun

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📈 تحلیل کانال تلگرام Python Projects & Free Books

کانال Python Projects & Free Books (@pythonfreebootcamp) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 40 921 مشترک است و جایگاه 3 343 را در دسته فناوری و برنامه‌ها و رتبه 10 014 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 40 921 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 06 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 199 و در ۲۴ ساعت گذشته برابر 15 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 4.49% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 0.77% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 1 837 بازدید دریافت می‌کند. در اولین روز معمولاً 314 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 5 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند learning, analyst, framework, link:-, structure تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
Python Interview Projects & Free Courses Admin: @Coderfun

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 08 ژوئن, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامه‌ها تبدیل کرده‌اند.

40 921
مشترکین
+1524 ساعت
+1007 روز
+19930 روز
آرشیو پست ها
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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