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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Tarmoq:Machine Learning with Python Hindiston10 515 Texnologiyalar & Aralashmalar3 501...

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Learn Python Coding (@pythonre) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 39 175 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 501-o'rinni va Hindiston mintaqasida 10 515-o'rinni egallagan.

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невідомо sanasidan buyon loyiha tez o‘sib, 39 175 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.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 4 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent math, harvard, oxford, supervision, waybienad kabi asosiy mavzularga jamlangan.

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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.

39 175

Obunachilar

+1524 soatlar

+827 kunlar

+44330 kunlar

988

Post ko'rishlar

~ 37424 soatlar

~ 47148 soatlar

2.52%

Muloqot nisbati

~ 3

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✨ context engineering | AI Coding Glossary ✨ 📖 The systematic design and optimization of the information given to a model at inference time so it can answer effectively. 🏷️ #Python

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✨ temperature | AI Coding Glossary ✨ 📖 A decoding parameter that rescales model logits before sampling. 🏷️ #Python

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Repost from Machine Learning

📌 Python 3.14 and the End of the GIL 🗂 Category: PROGRAMMING 🕒 Date: 2025-10-18 | ⏱️ Read time: 16 min read Exploring the opportunities and challenges of a GIL-free Python

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✨ hallucination | AI Coding Glossary ✨ 📖 When a generative model produces confident but false or unverifiable content and presents it as fact. 🏷️ #Python

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✨ system prompt | AI Coding Glossary ✨ 📖 A message that establishes a model’s role, goals, constraints, and style before user inputs. 🏷️ #Python

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✨ training | AI Coding Glossary ✨ 📖 The process of fitting a model’s parameters to data by minimizing a loss function. 🏷️ #Python

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✨ prompt engineering | AI Coding Glossary ✨ 📖 The practice of designing and refining prompts for generative models. 🏷️ #Python

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✨ generative model | AI Coding Glossary ✨ 📖 A model that learns a data distribution so it can generate new samples or assign probabilities to observations. 🏷️ #Python

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✨ neural network | AI Coding Glossary ✨ 📖 A computational model composed of layered, interconnected units that learn learn input-to-output mappings. 🏷️ #Python

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✨ Quiz: Polars vs pandas: What's the Difference? ✨ 📖 Take this quiz to test your knowledge of the Polars vs pandas tutorial and review the key differences between these open-source Python libraries. 🏷️ #intermediate #data-science #python

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✨ machine learning | AI Coding Glossary ✨ 📖 A subfield of AI that builds models that improve their performance on a task by learning patterns from data. 🏷️ #Python

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✨ transformer | AI Coding Glossary ✨ 📖 A neural network model that uses self-attention to handle sequences without recurrence or convolutions. 🏷️ #Python

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