Python Courses & Resources

Kanalga Telegram’da o‘tish

Master Python with step-by-step courses – from basics to advanced projects and practical applications. Admin: @HusseinSheikho

Ko'proq ko'rsatish

Tarmoq:Machine Learning with Python Hindiston7 180 Taʼlim3 428...

📈 Telegram kanali Python Courses & Resources analitikasi

Python Courses & Resources (@python53) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 50 360 obunachidan iborat bo'lib, Taʼlim toifasida 3 428-o'rinni va Hindiston mintaqasida 7 180-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 50 360 obunachiga ega bo‘ldi.

27 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 385 ga, so‘nggi 24 soatda esa -7 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 2.96% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.26% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 1 492 marta ko‘riladi; birinchi sutkada odatda 635 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 2 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent consultation, dentist, insidead, waybienad, appointment kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Master Python with step-by-step courses – from basics to advanced projects and practical applications. Admin: @HusseinSheikho”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 28 Avgust, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

50 360

Obunachilar

-724 soatlar

-227 kunlar

+38530 kunlar

1 492

Post ko'rishlar

~ 63524 soatlar

~ 93448 soatlar

2.96%

Muloqot nisbati

~ 2

Kuniga postlar

Ads index

beta

Postlar arxiv

50 360

Repost from Udemy Free Coupons

HTML, CSS, Java, & JavaScript: Full Stack Programming Course Master Full Stack Development with HTML, CSS, Java, and JavaScript: Build Dynamic and Responsive Web Applications... 🏷 Category: N/A 🌍 Language: English (US) 👥 Students: 30,877 students ⭐️ Rating: 4.4/5.0 (549 reviews) 🏃‍♂️ Enrollments Left: N/A ⏳ Expires In: 0D:1H:1M 💰 Price: ~~$23.51~~ => FREE 🆔 Coupon: CM260406IN ⚠️ Note: You may need to watch a short ad to access the course. This helps keep the service free for everyone. 🙏 💎 By: https://t.me/Udemy26

50 360

Please more Likes and Shares 🙆🏻‍♂️

50 360

🔅 Hands-On Introduction: Python

50 360

🔅 Hands-On Introduction: Python 📝 Explore the fundamental skills you need to know as a coder to take your knowledge of Python to the next level. 🌐 Author: Ronnie Sheer 🔰 Level: Intermediate ⏰ Duration: 1h 18m 📋 Topics: Python

50 360

Stop wasting time on empty promises. I spent countless nights testing strategies so you don’t have to-no fluff, only real winning bets and proven results. If you’re done with hype and ready to turn your bets into serious profit, welcome to  🅨🅞🅤🅝🅖🅩 🅑🅔🅣 . Daily expert tips, high odds, and zero BS. Join the winners: Follow YOUNGZBET now and start cashing in today. #ad 📢 InsideAd

50 360

15,000,000 Awaits! Toobit Grab 15,000,000 SOLIB by trading on Toobit! Ad. 18+

50 360

AI Agents for Beginners This is Microsoft's official, structured course designed to teach AI agents from the ground up. 🎓 It provides a comprehensive curriculum covering fundamentals to deployment through exclusive video tutorials with hands-on code examples. The course is entirely free and accessible without registration. It is ideal for beginners and intermediate developers seeking to understand how AI agents reason, utilize tools, and automate real-world tasks. 🤖 Prerequisites: Basic command line experience is beneficial, though no prior AI experience is required. 📚 12 structured lessons 🏃‍♂️ Self-paced with immediate access 👨‍🏫 Created by: Microsoft Developer Team 🔗 Course Link https://github.com/microsoft/ai-agents-for-beginners #AIAgents #Microsoft #AutonomousAI #AgenticAI ➖➖➖➖➖➖➖➖➖➖➖➖➖➖

50 360

Weich leben. Tief schlafen. Zuhause fühlen Bei PointHome bekommst du alles, was du für erholsamen, gesunden Schlaf brauchst: ergonomische Matratzen, hochwertige Bettgestelle, kuschelige Kissen und luxuriöse Bettwäsche Sponsored By WaybienAds

50 360

Repost from Machine Learning with Python

Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

50 360

Repost from Udemy Free Coupons

Python Programming: Build and Deploy Your Own Applications. Python Programming: Master the complete application lifecycle: Build, test, and deploy your Python projects.... 🏷 Category: development 🌍 Language: English (US) 👥 Students: 17,729 students ⭐️ Rating: 4.1/5.0 (191 reviews) 🏃‍♂️ Enrollments Left: 81 ⏳ Expires In: 0D:19H:19M 💰 Price: ~~$9.59~~ => FREE 🆔 Coupon: 067CFA0F0177BB983BC8 ⚠️ Note: You may need to watch a short ad to access the course. This helps keep the service free for everyone. 🙏 💎 By: https://t.me/Udemy26

50 360

15,000,000 Awaits! Toobit Grab 15,000,000 SOLIB by trading on Toobit! Ad. 18+

50 360

🚀 Sber has released two open-source MoE models: GigaChat-3.1 Ultra and Lightning Both code and weights are available under the MIT license on HuggingFace. 👉 Key details: • Trained from scratch (not a finetune) on proprietary data and infrastructure • Mixture-of-Experts (MoE) architecture Models: 🧠 GigaChat-3.1 Ultra • 702B MoE model for high-performance environments • Outperforms DeepSeek-V3-0324 and Qwen3-235B on math and reasoning benchmarks • Supports FP8 training and MTP ⚡️ GigaChat-3.1 Lightning • 10B model (1.8B active parameters) • Outperforms Qwen3-4B and Gemma-3-4B on Sber benchmarks • Efficient local inference • Up to 256k context Engineering highlights: • Custom metric to detect and reduce generation loops • DPO training moved to native FP8 • Improvements in post-training pipeline • Identified and fixed a critical issue affecting evaluation quality 🌍 Trained on 14 languages (optimized for English and Russian) Use cases: • chatbots • AI assistants • copilots • internal ML systems Sber provides a solid open foundation for developers to build production-ready AI systems with lower infrastructure costs.

50 360