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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✨ Python 3.14 Preview: Better Syntax Error Messages ✨ 📖 Python 3.14 includes ten improvements to error messages, which help you catch common coding mistakes and point you in the right direction. 🏷️ #intermediate #python

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✨ Topic: Python Best Practices ✨ 📖 Learn how to use Python features idiomatically and what sets Python apart from other languages. Discover how Python coding differs from other languages. This will help you write cleaner, more efficient, and more Pythonic code. 🏷️ #167_resources

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✨ Phind | AI Coding Tools ✨ 📖 An AI-powered search engine for developers. 🏷️ #Python

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✨ How to Expense Your Real Python Membership ✨ 📖 Many companies offer professional development or learning budgets that can cover the cost of a Real Python membership. Here's how you can get your membership reimbursed. 🏷️ #Python

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✨ OverflowAI | AI Coding Tools ✨ 📖 A suite of generative AI features that bring conversational search and assistants to Stack Overflow. 🏷️ #Python

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✨ Quiz: Strip Characters From a Python String ✨ 📖 Test your Python skills on removing characters from strings using strip, lstrip, and rstrip. Practice default behavior, custom chars, and more. 🏷️ #basics #python

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✨ Microsoft Copilot | AI Coding Tools ✨ 📖 A generative AI assistant available in Bing, Microsoft Edge, and Windows. 🏷️ #Python

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✨ Quiz: Get Started With FastAPI ✨ 📖 This hands-on quiz will test your knowledge of FastAPI basics, from installation and endpoints to automatic JSON responses and Swagger UI. 🏷️ #intermediate #api #front-end #web-dev

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✨ CodeGeeX | AI Coding Tools ✨ 📖 An open multilingual code generation model family and an IDE assistant. 🏷️ #Python

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Visualization of Python objects and references Many beginner Python developers face confusion when working with mutability and references between variables. It is especially difficult to understand during debugging of complex data structures when it is unclear how exactly they are connected. ⌨️ So here is memory_graph — an open-source tool for visualizing Python objects and references. It shows the data structure, call stack, and connections between variables. 👉 Link: https://github.com/bterwijn/memory_graph?tab=readme-ov-file It also supports working with recursion and structures such as binary trees or linked lists. Works in VS Code, Jupyter, PyCharm, and is available online without installation. 😁 more: https://memory-graph.com/#breakpoints=8&continues=1&timestep=1.0&play 👉 https://t.me/CodeProgrammer

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