Learn Python Coding

Kanalga Telegram’da o‘tish

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

Ko'proq ko'rsatish

Tarmoq:Machine Learning with Python Hindiston9 923 Texnologiyalar & Aralashmalar3 407...

📈 Telegram kanali Learn Python Coding analitikasi

Learn Python Coding (@pythonre) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 39 481 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 407-o'rinni va Hindiston mintaqasida 9 923-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 39 481 obunachiga ega bo‘ldi.

05 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 345 ga, so‘nggi 24 soatda esa 10 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 1.23% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.09% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 484 marta ko‘riladi; birinchi sutkada odatda 430 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 2 ta reaksiya keladi.
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 06 Iyul, 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.

39 481

Obunachilar

+1024 soatlar

+727 kunlar

+34530 kunlar

484

Post ko'rishlar

~ 43024 soatlar

~ 59848 soatlar

1.23%

Muloqot nisbati

~ 4

Kuniga postlar

Ads index

beta

Postlar arxiv

39 480

AI for Games, 3d edition Invite your friends 🌹🌹 @DataScience_Books

39 480

AI for Games, 3d edition 👇👇👇👇👇

39 480

Probabilistic two-stage detection Two-stage object detectors that use class-agnostic one-stage detectors as the proposal network. github: https://github.com/xingyizhou/CenterNet2?utm_source=catalyzex.com paper: https://arxiv.org/pdf/2103.07461.pdf Invite your friends 🌹🌹 @DataScience_Books

39 480

A curated list of awesome Python frameworks, libraries, software and resources. github: https://github.com/vinta/awesome-python Invite your friends 🌹🌹 @DataScience_Books

39 480

Invite your friends 🌹🌹 @DataScience_Books

39 480

Optimal transport in multilayer networks Github: https://github.com/cdebacco/MultiOT Paper: https://arxiv.org/abs/2106.07202v1 Invite your friends 🌹🌹 @DataScience_Books

39 480

Part-aware Panoptic Segmentation Github: https://github.com/pmeletis/panoptic_parts Paper: https://arxiv.org/abs/2106.06351v1 Docs: https://panoptic-parts.readthedocs.io/en/stable Invite your friends 🌹🌹 @DataScience_Books

39 480

Color2Style: Real-Time Exemplar-Based Image Colorization with Self-Reference Learning and Deep Feature Modulation ArXiV: https://arxiv.org/pdf/2106.08017.pdf Invite your friends 🌹🌹 @DataScience_Books

39 480

Python machine learning from scratch Invite your friends 🌹🌹 @DataScience_Books

39 480

Python machine learning from scratch 👇👇👇👇👇

39 480

✅ Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs Github: https://github.com/seongjunyun/Graph_Transformer_Networks Paper: https://arxiv.org/abs/2106.06218v1 Dataset: https://github.com/Jhy1993/HAN Invite your friends 🌹🌹 @DataScience_Books

39 480

🧩 A Bayesian Analysis of Lego Prices in Python with PyMC3 https://austinrochford.com/posts/2021-06-10-lego-pymc3.html Lego Price Analysis: https://austinrochford.com/posts/2021-06-03-vader-meditation.html Invite your friends 🌹🌹 @DataScience_Books

39 480

sticker.webp0.60 KB

39 480

A Deep Variational Approach to Clustering Survival Data Github: https://github.com/i6092467/vadesc Paper: https://arxiv.org/abs/2106.05763v1 Invite your friends 🌹🌹 @DataScience_Books

39 480

Pivotal Tuning for Latent-based Editing of Real Images Github: https://github.com/Talegqz/unsupervised_co_part_segmentation Paper: https://arxiv.org/abs/2106.05897v1 Invite your friends 🌹🌹 @DataScience_Books

39 480

Microsoft's FLAML - Fast and Lightweight AutoML Github: https://github.com/microsoft/FLAML Code: https://github.com/microsoft/FLAML/tree/main/notebook/ Paper: https://arxiv.org/abs/2106.04815v1 Invite your friends 🌹🌹 @DataScience_Books

39 480

Probabilistic Deep Learning (2020) Invite your friends 🌹🌹 @DataScience_Books

39 480

Probabilistic Deep Learning (2020) 👇👇👇👇👇

39 480

GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings Github: https://github.com/rusty1s/pyg_autoscale Paper: https://arxiv.org/abs/2106.05609v1 Invite your friends 🌹🌹 @DataScience_Books

39 480

Internet of Things Programming Projects Invite your friends 🌹🌹 @DataScience_Books