uz
Feedback
Learn Python Coding

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

📈 Telegram kanali Learn Python Coding analitikasi

Learn Python Coding (@pythonre) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 39 482 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 410-o'rinni va Hindiston mintaqasida 9 931-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 39 482 obunachiga ega bo‘ldi.

06 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 361 ga, so‘nggi 24 soatda esa 9 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 1.34% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.14% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 530 marta ko‘riladi; birinchi sutkada odatda 451 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 07 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.

39 482
Obunachilar
+924 soatlar
+797 kunlar
+36130 kunlar
Postlar arxiv
​A Practical Guide to Hybrid Natural Language Processing: Combining Neural Models and Knowledge Graphs for NLP Invite your friends 🌹🌹 @DataScience_Books

​A Practical Guide to Hybrid Natural Language Processing: Combining Neural Models and Knowledge Graphs for NLP Authors: Jose
​A Practical Guide to Hybrid Natural Language Processing: Combining Neural Models and Knowledge Graphs for NLP Authors: Jose Manuel Gomez-Perez, Ronald Denaux, Andres Garcia-Silva Year: 2020 Edition: 1st ed. 👇👇👇👇👇

​Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 Invite your friends 🌹🌹 @DataScience_Books

​Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 Authors: Aboul-Ella Hassanien, Kuo-Chi Ch
​Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 Authors: Aboul-Ella Hassanien, Kuo-Chi Chang, Tang Mincong Year: 2021 Edition: 1 👇👇👇👇👇

2021- Courses List of Machine Learning, Deep Learning, and Computer Vision from a top school CS224W: Machine Learning with Gr
2021- Courses List of Machine Learning, Deep Learning, and Computer Vision from a top school CS224W: Machine Learning with Graphs - Stanford / Winter 2021 https://www.youtube.com/playlist?list=PLuv1FSpHurUemjLiP4L1x9k6Z9D8rNbYW Full Stack Deep Learning - Spring 2021 - UC Berkeley https://www.youtube.com/playlist?list=PLuv1FSpHurUc2nlabZjCLLe8EQa9fOoa9 Introduction to Deep Learning (I2DL) - Technical University of Munich https://www.youtube.com/playlist?list=PLuv1FSpHurUdmk7v06MDyIx0SDxTrIoqk 3D Computer Vision - National University of Singapore - 2021 https://www.youtube.com/playlist?list=PLuv1FSpHurUflLnJF6hgi0FkeNG1zSFCZ CV3DST - Computer Vision 3: Detection, Segmentation and Tracking https://www.youtube.com/playlist?list=PLuv1FSpHurUd08wNo1FMd3eCUZXm8qexe ADL4CV - Advanced Deep Learning for Computer Vision https://www.youtube.com/playlist?list=PLuv1FSpHurUcQi2CwFIVQelSFCzxphJqz Invite your friends 🌹🌹 @DataScience_Books

Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks Github: https://github.com/antonio-mast
Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks Github: https://github.com/antonio-mastropaolo/T5-learning-ICSE_2021 Paper: https://arxiv.org/pdf/2102.02017.pdf Invite your friends 🌹🌹 @DataScience_Books

Repost from Data Science Books
Noisy data includes
Anonymous voting