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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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๐Ÿ“ˆ Telegram kanali Learn Python Coding analitikasi

Learn Python Coding (@pythonre) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 39 469 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 403-o'rinni va Hindiston mintaqasida 9 949-o'rinni egallagan.

๐Ÿ“Š Auditoriya koโ€˜rsatkichlari va dinamika

ะฝะตะฒั–ะดะพะผะพ sanasidan buyon loyiha tez oโ€˜sib, 39 469 obunachiga ega boโ€˜ldi.

04 Iyul, 2026 dagi oxirgi maโ€™lumotlarga koโ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 356 ga, soโ€˜nggi 24 soatda esa 7 ga oโ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oโ€˜rtacha 1.27% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.09% ini tashkil etuvchi reaksiyalarni toโ€˜playdi.
  • Post qamrovi: Har bir post oโ€˜rtacha 502 marta koโ€˜riladi; birinchi sutkada odatda 430 ta koโ€˜rish yigโ€˜iladi.
  • Reaksiyalar va oโ€˜zaro taโ€™sir: Auditoriya faol: har bir postga oโ€˜rtacha 2 ta reaksiya keladi.
  • Tematik yoโ€˜nalishlar: Kontent math, harvard, oxford, supervision, waybienad kabi asosiy mavzularga jamlangan.

๐Ÿ“ Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taโ€™riflaydi:
โ€œLearn 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_Sheikhoโ€

Yuqori yangilanish chastotasi (oxirgi maโ€™lumot 05 Iyul, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boโ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taโ€™sir nuqtasiga aylantirishini koโ€˜rsatadi.

39 469
Obunachilar
+724 soatlar
+737 kunlar
+35630 kunlar
Postlar arxiv
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โœ… OPNAI Evaluating Large Language Models Trained on Code Github: https://github.com/openai/human-eval Paper: https://arxiv.or
โœ… OPNAI Evaluating Large Language Models Trained on Code Github: https://github.com/openai/human-eval Paper: https://arxiv.org/abs/2107.03374v1 Dataset: https://paperswithcode.com/dataset/apps Invite your friends ๐ŸŒน๐ŸŒน @DataScience_Books

๐ŸŒ Depth-supervised NeRF: Fewer Views and Faster Training for Free Github: https://github.com/dunbar12138/DSNeRF Paper: https
๐ŸŒ Depth-supervised NeRF: Fewer Views and Faster Training for Free Github: https://github.com/dunbar12138/DSNeRF Paper: https://arxiv.org/abs/2107.02791v1 Project: https://www.cs.cmu.edu/~dsnerf/ Datasets: https://paperswithcode.com/dataset/3dmatch Invite your friends ๐ŸŒน๐ŸŒน @DataScience_Books

Modern Web Testing with TestCafe Invite your friends ๐ŸŒน๐ŸŒน @DataScience_Books

Modern Web Testing with TestCafe ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡
Modern Web Testing with TestCafe ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡

Is 2D Heatmap Representation Even Necessary for Human Pose Estimation? Github: https://github.com/leeyegy/SimDR Paper: https:
Is 2D Heatmap Representation Even Necessary for Human Pose Estimation? Github: https://github.com/leeyegy/SimDR Paper: https://arxiv.org/abs/2107.03332v1 Dataset: https://paperswithcode.com/dataset/coco Invite your friends ๐ŸŒน๐ŸŒน @DataScience_Books

UACANet: Uncertainty Augmented Context Attention for Polyp Semgnetaion Github: https://github.com/plemeri/UACANet Paper: http
UACANet: Uncertainty Augmented Context Attention for Polyp Semgnetaion Github: https://github.com/plemeri/UACANet Paper: https://arxiv.org/abs/2107.02368v1 Dataset: https://paperswithcode.com/dataset/kvasir-seg Invite your friends ๐ŸŒน๐ŸŒน @DataScience_Books

MEAP Edition. Manning Early Access Program Machine Learning with R, tidyverse, and mlr, Version 7 Invite your friends ๐ŸŒน๐ŸŒน @DataScience_Books

MEAP Edition. Manning Early Access Program Machine Learning with R, tidyverse, and mlr, Version 7 ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡
MEAP Edition. Manning Early Access Program Machine Learning with R, tidyverse, and mlr, Version 7 ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡

Python cheat sheet Invite your friends ๐ŸŒน๐ŸŒน @DataScience_Books

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RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds (CVPR 2020) Github: https://github.com/QingyongHu/Ran
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds (CVPR 2020) Github: https://github.com/QingyongHu/RandLA-Net Paper: https://arxiv.org/abs/1911.11236 Project: http://randla-net.cs.ox.ac.uk/ Invite your friends ๐ŸŒน๐ŸŒน @DataScience_Books

The Big Book of Small Python Invite your friends ๐ŸŒน๐ŸŒน @DataScience_Books

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The Big Book of Small Python ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡