Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
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 28 762 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 4 796-o'rinni va Hindiston mintaqasida 15 162-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 28 762 obunachiga ega bo‘ldi.
08 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 59 ga, so‘nggi 24 soatda esa -11 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 0.57% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.81% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 163 marta ko‘riladi; birinchi sutkada odatda 234 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 1 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 09 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.
pip install requests
The most-commonly-used HTTP methods are GET and POST:
requests.get(url)
requests.post(url, data=somedictdata)
Each of there functions returns a Response. It's a really powerful object for inspecting the results of the request. We can get all the information we need from this object like text, status code or encoding.
🔗Docs
🔗Python’s Requests Library (Guide)
#requestsdata = [1,2,3,4,5,5,6,6,7,9,10]
var = list(filter(lambda x : x%2==0 , data))
print(var)
Output :
[2, 4, 6, 6, 10]a = [4,328,38,62]
print("The Maximum Value Is : ",min(a))
Output :
4a = [4,328,38,62]
print("The Maximum Value Is : ",max(a))
Output :
The Maximum Value Is : 328from functools import reduce
li = [5, 9, 12, 22, 40, 95]
sum = reduce((lambda x, y: x + y), li)
print(sum)
Output :
183