uz
Feedback
Python/ django

Python/ django

Kanalga Telegram’da o‘tish

по всем вопросам @haarrp @itchannels_telegram - 🔥 все ит каналы @ai_machinelearning_big_data -ML @ArtificialIntelligencedl -AI @datascienceiot - 📚 @pythonlbooks РКН: clck.ru/3FmxmM

Ko'proq ko'rsatish
MachinelearningTarmoq:MachinelearningRossiya10 249Texnologiyalar & Aralashmalar2 219

📈 Telegram kanali Python/ django analitikasi

Python/ django (@pythonl) Rus til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 59 836 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 2 219-o'rinni va Rossiya mintaqasida 10 249-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 59 836 obunachiga ega bo‘ldi.

21 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -518 ga, so‘nggi 24 soatda esa -23 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 8.80% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 3.51% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 5 267 marta ko‘riladi; birinchi sutkada odatda 2 101 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 22 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.

59 836
Obunachilar
-2324 soatlar
-1217 kunlar
-51830 kunlar
Postlar arxiv
Python/ django
Python/ django
59 821
#books_channel📚📚📚📚 #python #deep_learning - #CNN - #LSTM - #Capsulenet #deep_tools - #tensorflow - #theano #data_mining -
#books_channel📚📚📚📚 #python #deep_learning - #CNN - #LSTM - #Capsulenet #deep_tools - #tensorflow - #theano #data_mining - #implementation . 🇯‌🇴‌🇮‌🇳 ↯ @Machine_learn

Python/ django
Python/ django
59 821
Torchdata is PyTorch oriented library focused on data processing and input pipelines in general https://github.com/szymonmaszke/torchdata

Python/ django
Python/ django
59 821
Great tool for pytorch @ai_machinelearning_big_data

Python/ django
Python/ django
59 821

Python/ django
Python/ django
59 821

Python/ django
Python/ django
59 821
Python Multiprocessing Tutorial: Run Code in Parallel Using the Multiprocessing Module https://www.youtube.com/watch?v=fKl2JW_qrso

Python/ django
Python/ django
59 821

Python/ django
Python/ django
59 821
Custom Application Metrics with Django, Prometheus, and Kubernetes https://labs.meanpug.com/custom-application-metrics-with-django-prometheus-and-kubernetes/

Python/ django
Python/ django
59 821

Python/ django
Python/ django
59 821
5 Reasons to Learn Probability for Machine Learning https://machinelearningmastery.com/why-learn-probability-for-machine-learning/

Python/ django
Python/ django
59 821

Python/ django
Python/ django
59 821
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples» https://github.com/vandit15/Class-balanced-loss-pytorch Class-Balanced Loss Based on Effective Number of Samples https://github.com/richardaecn/class-balanced-loss

Python/ django
Python/ django
59 821

Python/ django
Python/ django
59 821
Django + Elasticsearch. Searching for awesome TED Talks https://apirobot.me/posts/django-elasticsearch-searching-for-awesome-ted-talks

Python/ django
Python/ django
59 821

Python/ django
Python/ django
59 821
SuperSQLite: a supercharged SQLite library for Python https://github.com/plasticityai/supersqlite

Python/ django
Python/ django
59 821

Python/ django
Python/ django
59 821

Python/ django
Python/ django
59 821
Dagster is a system for building modern data applications. https://github.com/dagster-io/dagster

Python/ django
Python/ django
59 821
Useful String Methods in Python Learn about some of Python’s built-in methods that can be used on strings https://towardsdatascience.com/useful-string-methods-in-python-5047ea4d3f90