Python Interviews
Join this channel to learn python for web development, data science, artificial intelligence and machine learning with quizzes, projects and amazing resources for free For collaborations: @coderfun
Ko'proq ko'rsatish📈 Telegram kanali Python Interviews analitikasi
Python Interviews (@pythoninterviews) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 28 850 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 4 582-o'rinni va Hindiston mintaqasida 14 304-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 28 850 obunachiga ega bo‘ldi.
28 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 111 ga, so‘nggi 24 soatda esa 6 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 2.72% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.57% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 785 marta ko‘riladi; birinchi sutkada odatda 163 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 2 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent |--, link:-, learning, sql, analytic kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Join this channel to learn python for web development, data science, artificial intelligence and machine learning with quizzes, projects and amazing resources for free
For collaborations: @coderfun”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 29 Iyul, 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.
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"))First you need python installed in your local machine to create virtual environment. Download Python from Here» Steps to create '
.env' folder (virtual environment for python)
1. Navigate to the folder where you want to make your project
Example:
cd D:/code/
2. Open terminal (local terminal, command prompt, or vs code terminal) in that folder
3. Now, use these commands
python --version # Type this and hit enter to verify the python version
# Now use these commands
python -m venv .env
4. Your virtual environment is created in that folder, now activate this virtual environment using this command.
Command for 'Command Prompt':
.\env\Scripts\activate
Command for 'Powershell':
.\env\Scripts\Activate.ps1
Command for Git Bash or WSL:
source \.env\bin\activate
If Powershell gives you error like File cannot be loaded because running scripts is disabled then use this command!
Set-ExecutionPolicy -Scope Process -ExecutionPolicy Bypass
5. Congratulations🎊 Your virtual environment activated now make your project
Happy Coding 👨💻