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Python/ django (@pythonl) Rus til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 59 929 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 2 215-o'rinni va Rossiya mintaqasida 10 245-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 59 929 obunachiga ega bo‘ldi.

16 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -568 ga, so‘nggi 24 soatda esa -5 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 7.81% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 3.01% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 4 678 marta ko‘riladi; birinchi sutkada odatda 1 806 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 17 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.

59 929

Obunachilar

-524 soatlar

-967 kunlar

-56830 kunlar

4 678

Post ko'rishlar

~ 1 80624 soatlar

~ 2 26548 soatlar

7.81%

Muloqot nisbati

~ 1

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Узнайте больше о специальности Data Warehouse Analyst на встрече с Senior Data Engineer Артемием Козырем. 28 июля ждем вас на вебинаре, где Артемий расскажет о навыках и задачах, которые появились на стыке деятельности дата инженера и аналитика данных. Также вы познакомитесь с программой онлайн-курса «Data Warehouse Analyst» и форматом обучения в OTUS. В конце встречи у вас будет возможность занять место в группе по спец.цене. Регистрация на вебинар: https://otus.pw/qLQL/

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Best machine learning tutorials: @ai_machinelearning_big_data - Usufull machine learning resourses: https://t.me/datascienceiot Artificial intelligence articles: @ArtificialIntelligencedl Machine learning RU: https://t.me/machinelearning_ru ML chat: https://t.me/machinee_learning Free python books: https://t.me/pythonlbooks

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