Python Courses & Resources

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

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Tarmoq:Machine Learning with Python Hindiston7 936 Taʼlim3 605...

📈 Telegram kanali Python Courses & Resources analitikasi

Python Courses & Resources (@python53) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 49 023 obunachidan iborat bo'lib, Taʼlim toifasida 3 605-o'rinni va Hindiston mintaqasida 7 936-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 49 023 obunachiga ega bo‘ldi.

04 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 499 ga, so‘nggi 24 soatda esa 11 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 2.42% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.47% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 1 185 marta ko‘riladi; birinchi sutkada odatda 722 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 3 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.”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 05 Iyun, 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.

49 023

Obunachilar

+1124 soatlar

+1687 kunlar

+49930 kunlar

1 185

Post ko'rishlar

~ 72224 soatlar

~ 97448 soatlar

2.42%

Muloqot nisbati

~ 2

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Repost from Machine Learning with Python

Most people learn Python in random order. No wonder they feel stuck. This roadmap fixes that. Here are the 5 layers every data professional must master, in order: 𝟭. 𝗖𝗼𝗿𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 (𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻) Variables, loops, functions, error handling, collections. Do not skip this. Everything else breaks without it. 𝟮. 𝗗𝗮𝘁𝗮 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴 & 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 Pandas, NumPy, file handling, SQL integration, data cleaning. This is where your actual job begins. 𝟯. 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗟𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀 Matplotlib, Seaborn, EDA, statistical functions, hypothesis testing. Can you turn raw data into a decision? This layer teaches you how. 𝟰. 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗠𝗟 Scikit-Learn, clustering, feature engineering, big data tools. This is what gets you promoted. 𝟱. 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 & 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 Git, virtual environments, unit testing, workflow scheduling. This is what separates professionals from beginners. The mistake most people make, they jump straight to ML without nailing the foundation. You cannot build insights on broken code. Master the layers. In order. With real data. Save this roadmap and share it with someone who needs direction. Where are you on this right now? ♻️ Repost to help someone learning Python the right way https://t.me/CodeProgrammer ✅

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Repost from Udemy Free Coupons

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Repost from Udemy Free Coupons

Master Data Structures with Hands-on Python Learn arrays, linked lists, stacks, queues, trees, and graphs in Python with real projects and interview prep... 🏷 Category: N/A 🌍 Language: English (US) 👥 Students: 4,985 students ⭐️ Rating: 4.6/5.0 (22 reviews) 🏃‍♂️ Enrollments Left: N/A ⏳ Expires In: 0D:0H:0M 💰 Price: ~~$9.59~~ => 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

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🔅 Hands-On Introduction: Python

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🔅 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

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Repost from Machine Learning with Python

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

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