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Python Projects & Free Books (@pythonfreebootcamp) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 926 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 337-o'rinni va Hindiston mintaqasida 10 047-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 40 926 obunachiga ega bo‘ldi.

05 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 175 ga, so‘nggi 24 soatda esa 29 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 4.03% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.77% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 1 649 marta ko‘riladi; birinchi sutkada odatda 314 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 5 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent learning, analyst, framework, link:-, structure kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Python Interview Projects & Free Courses Admin: @Coderfun”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 07 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

40 926

Obunachilar

+2924 soatlar

+517 kunlar

+17530 kunlar

1 649

Post ko'rishlar

~ 31424 soatlar

~ 55048 soatlar

4.03%

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Kuniga postlar

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Postlar arxiv

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Building Modern GUIs with Tkinter and Python

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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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Do you enjoy reading this channel? Perhaps you have thought about placing ads on it? To do this, follow three simple steps: 1) Sign up: https://telega.io/c/pythonfreebootcamp 2) Top up the balance in a convenient way 3) Create an advertising post If the topic of your post fits our channel, we will publish it with pleasure.

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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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❌ THE MOST PRIVATE GROUP №1 ❌ They are robbing Crypto Exchanges for Millions of dollars! Yesterday profit = 50,000$+ 👉 https://t.me/+5YRwSjrwkCIwNDE1 👉 https://t.me/+5YRwSjrwkCIwNDE1 👉 https://t.me/+5YRwSjrwkCIwNDE1 Go fast! Only the first 1000 subs will be accepted! 👀🚀

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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)

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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', ...']

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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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❌ PRIVATE GROUP №1 ❌ They are robbing Crypto Exchanges for Millions of dollars! Yesterday profit = 50,000$+ 👉 https://t.me/+BT9cWw0OJ644YWI1 👉 https://t.me/+BT9cWw0OJ644YWI1 👉 https://t.me/+BT9cWw0OJ644YWI1 Go fast! Only the first 1000 subs will be accepted! 👀🚀

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