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📚Python Books

📚Python Books

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📚Python библиотека admin - @workakkk @ai_machinelearning_big_data - машинное обучение @programming_books_it - бесплатные it книги @pythonl - 🐍 @ArtificialIntelligencedl - AI @datascienceiot - ml РКН: clck.ru/3FmsTi

Ko'proq ko'rsatish

📈 Telegram kanali 📚Python Books analitikasi

📚Python Books (@pythonlbooks) kanali faol ishtirokchi. Hozirda hamjamiyat 33 546 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 891-o'rinni va Rossiya mintaqasida 19 158-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 33 546 obunachiga ega bo‘ldi.

01 Sentabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -177 ga, so‘nggi 24 soatda esa 18 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 6.78% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.56% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 2 273 marta ko‘riladi; birinchi sutkada odatda 859 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 0 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent сотрудников, курса, инструменты, использовать, docker kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
📚Python библиотека admin - @workakkk @ai_machinelearning_big_data - машинное обучение @programming_books_it - бесплатные it книги @pythonl - 🐍 @ArtificialIntelligencedl - AI @datascienceiot - ml РКН: clck.ru/3FmsTi

Yuqori yangilanish chastotasi (oxirgi ma’lumot 02 Sentabr, 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.

33 546
Obunachilar
+1824 soatlar
-207 kun
-17730 kun
Postlar arxiv
The Hacker’s Guide to Scaling Python @pythonlbooks

Python Basics: A Self-Teaching Introduction @pythonlbooks

📚Fresh book by Nassim Taleb Statistical Consequences of Fat Tails: Real World Preasymptotics, Epistemology, and Applications https://arxiv.org/abs/2001.10488 @ai_machinelearning_big_data

Designing Machine Learning Systems with Python @datascienceiot

Complex Network Analysis in Python @pythonl

Mastering Machine Learning with Python in Six Steps @datascienceiot

Cloud Native Python @datascienceiot

Dropbox TensorFlow Machine Learning Cook @datascienceiot

Data Structures and Algorithms with Python @datascienceiot

Mastering Python @datascienceiot

Practical Machine Learning with Python @datascienceiot

Tensorflow World Resources @datascienceiot

Learning IPython for Interactive Computing and Data Visualization @datascienceiot

Learning OpenCV 3 Computer Vision with Python @datascienceiot

Natural Language Processing with Python @datascienceiot

Building Machine Learning Systems with Python @datascienceiot

📖 Machine Learning with PySpark With Natural Language Processing and Recommender Systems 2019 @datascienceiot

New book 🔥DEEP LEARNING WITH PYTORCH 2019 @datascienceiot

Reinforcement Learning — (en) @datascienceiot

Data Visualization with Python and JS @datascienceiot