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Learn Python Coding

Learn Python Coding

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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho

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Learn Python Coding (@pythonre) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 39 165 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 501-o'rinni va Hindiston mintaqasida 10 515-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 39 165 obunachiga ega bo‘ldi.

09 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 443 ga, so‘nggi 24 soatda esa 15 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 2.52% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.96% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 988 marta ko‘riladi; birinchi sutkada odatda 374 ta ko‘rish yig‘iladi.
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  • Tematik yo‘nalishlar: Kontent math, harvard, oxford, supervision, waybienad kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho

Yuqori yangilanish chastotasi (oxirgi ma’lumot 10 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.

39 165
Obunachilar
+1524 soatlar
+827 kunlar
+44330 kunlar
Postlar arxiv
parameter | AI Coding Glossary ✨ 📖 A learned internal value of a model, such as a weight or bias. 🏷️ #Python

convolutional network | AI Coding Glossary ✨ 📖 A neural network that uses local receptive fields and shared weights to process structured signals such as images. 🏷️ #Python

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Python Notes 🌟🌟🌟🌟🌟 #python https://t.me/addlist/8_rRW2scgfRhOTc0 ⚡️

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✨ Quiz: What Can I Do With Python? ✨ 📖 Test your knowledge of what Python can and can't do, from web and GUI apps to data sc
Quiz: What Can I Do With Python? ✨ 📖 Test your knowledge of what Python can and can't do, from web and GUI apps to data science, CLI tools, and embedded systems. 🏷️ #basics #career

loss function | AI Coding Glossary ✨ 📖 A scalar objective that measures prediction error and shapes gradients to guide model training. 🏷️ #Python

reinforcement learning | AI Coding Glossary ✨ 📖 A learning approach where an agent improves decisions by interacting with an environment and maximizing cumulative reward. 🏷️ #Python

✨ What Can I Do With Python? ✨ 📖 Learn how Python builds software, powers AI, automates tasks, and drives robotics. Discover
What Can I Do With Python? ✨ 📖 Learn how Python builds software, powers AI, automates tasks, and drives robotics. Discover tools and projects to guide your programming journey. 🏷️ #basics #career

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✨ When Should You Use .__repr__() vs .__str__() in Python? ✨ 📖 Find out when to choose Python's __repr__() vs __str__() in y
When Should You Use .__repr__() vs .__str__() in Python? ✨ 📖 Find out when to choose Python's __repr__() vs __str__() in your classes so your objects show helpful information for debugging and user output. 🏷️ #intermediate #best-practices

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token | AI Coding Glossary ✨ 📖 A minimal unit of text used by NLP systems and language models. 🏷️ #Python

context window | AI Coding Glossary ✨ 📖 The maximum span of tokens that a language model can consider at once. 🏷️ #Python

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