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Python/ django

Python/ django

Kanalga Telegram’da o‘tish

📈 Telegram kanali Python/ django analitikasi

Python/ django (@pythonl) Rus til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 59 806 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 2 216-o'rinni va Rossiya mintaqasida 10 245-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 59 806 obunachiga ega bo‘ldi.

22 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -530 ga, so‘nggi 24 soatda esa -26 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 8.94% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 3.59% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 5 347 marta ko‘riladi; birinchi sutkada odatda 2 146 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 25 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent github, claude, контекст, архитектура, api kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
по всем вопросам @haarrp @itchannels_telegram - 🔥 все ит каналы @ai_machinelearning_big_data -ML @ArtificialIntelligencedl -AI @datascienceiot - 📚 @pythonlbooks РКН: clck.ru/3Fmxm...

Yuqori yangilanish chastotasi (oxirgi ma’lumot 23 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.

59 806
Obunachilar
-2624 soatlar
-1247 kunlar
-53030 kunlar
Postlar arxiv
Python List Comprehensions in 5-minutes A visual introduction to those tricky Pythonic one-liners https://towardsdatascience.com/python-list-comprehensions-in-5-minutes-40a68cbe4561?source=---------2---------------------

The Quick Python Book 2018

Minimally Sufficient Pandas In this article described perspective on how to best use the Pandas library. https://medium.com/dunder-data/minimally-sufficient-pandas-a8e67f2a2428?source=---------0---------------------

Recursive Programming How to solve a problem by pretending you already have https://towardsdatascience.com/finding-a-recursive-solution-184784b0aea0

Django - Lecture 7 - CS50's Web Programming with Python and JavaScript https://www.youtube.com/watch?v=ZjAMRnCu-84

Django and React Tutorial // 1 - Creating a Fullstack Application https://www.youtube.com/watch?v=uZgRbnIsgrA

James Powell - So you want to be a Python expert? https://www.youtube.com/watch?v=cKPlPJyQrt4

Python Flask Sending Data From Python To Jinja Templates https://www.youtube.com/watch?v=dYYQXaprlKM

Advanced Python Tutorial | Learn Advanced Python Concepts | Python Programming Training #AdvancedPython #AdvancedPythonTutorial #PythonTutorial https://www.youtube.com/watch?v=O1gZc-erLjg

Zero to Hero with Python Programming #Python #tutorials #programming https://www.youtube.com/watch?v=3cZsjOclmoM

Reinforcement Learning Tutorial | Reinforcement Learning Example Using Python https://www.youtube.com/watch?v=LzaWrmKL1Z4