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Pythonlearnerr

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📈 Análisis del canal de Telegram Pythonlearnerr

El canal Pythonlearnerr (@pythonlearnerr) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 110 108 suscriptores, ocupando la posición 1 202 en la categoría Educación y el puesto 2 334 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 110 108 suscriptores.

Según los últimos datos del 25 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -2 069, y en las últimas 24 horas de -69, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 9.77%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.86% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 10 766 visualizaciones. En el primer día suele acumular 2 047 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 54.
  • Intereses temáticos: El contenido se centra en temas clave como certification, stack, physicswallah, internship, sql.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
Learn Python Programming at Free of cost With Projects ☑️

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 26 agosto, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.

110 108
Suscriptores
-6924 horas
-4747 días
-2 06930 días
Archivo de publicaciones
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\n\n \n\n\n","datePublished":"2025-11-08T11:48:52Z","dateModified":"2025-11-08T11:48:52Z","author":{"@type":"Organization","name":"Pythonlearnerr","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr","image":"https://img.tlmtr.io/c/225CXf/6179177424965709964?ty=x"},"publisher":{"@type":"Organization","name":"Pythonlearnerr","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr","image":"https://img.tlmtr.io/c/225CXf/6179177424965709964?ty=x"},"commentCount":6458,"interactionStatistic":[{"@type":"InteractionCounter","interactionType":"https://schema.org/ViewAction","userInteractionCount":23387},{"@type":"InteractionCounter","interactionType":"https://schema.org/LikeAction","userInteractionCount":66},{"@type":"InteractionCounter","interactionType":"https://schema.org/ShareAction","userInteractionCount":62},{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":6458}]}},{"@type":"ListItem","position":8,"item":{"@type":"SocialMediaPosting","@id":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/727","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/727","mainEntityOfPage":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/727","headline":"🔥 8 skills = 8 free certifications >>> AI (Microsoft) - https://learn.microsoft.com/en-us/training/paths/get-…","articleBody":"🔥 8 skills = 8 free certifications >>>\n\nAI (Microsoft) -\nhttps://learn.microsoft.com/en-us/training/paths/get-started-artificial-intelligence/\n\nDeep learning (NVIDIA) -\nhttps://learn.nvidia.com/en-us/training/self-paced-courses\n\nData science (IBM) -\nhttps://skillsbuild.org/students/course-catalog/data-science\n\nData Analyst (Microsoft) -\nhttps://learn.microsoft.com/en-us/training/paths/data-analytics-microsoft/\n\nPython (Microsoft) -\nhttps://learn.microsoft.com/en-us/shows/intro-to-python-development/\n\nSQL (Infosys) -\nhttps://www.coursejoiner.com/freeonlinecourses/infosys-free-certification-course-9/\n\nJava (Infosys) -\nhttps://www.coursejoiner.com/uncategorized/infosys-launched-free-java-certification-course/\n\nCloud computing (AWS) - \nhttps://explore.skillbuilder.aws/learn/course/134/aws-cloud-practitioner-essentials\n\n\nReact - ❤️ for more posts like this 🚀","datePublished":"2025-11-04T14:26:22Z","dateModified":"2025-11-04T14:26:22Z","author":{"@type":"Organization","name":"Pythonlearnerr","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr","image":"https://img.tlmtr.io/c/225CXf/6179177424965709964?ty=x"},"publisher":{"@type":"Organization","name":"Pythonlearnerr","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr","image":"https://img.tlmtr.io/c/225CXf/6179177424965709964?ty=x"},"commentCount":260,"interactionStatistic":[{"@type":"InteractionCounter","interactionType":"https://schema.org/ViewAction","userInteractionCount":21860},{"@type":"InteractionCounter","interactionType":"https://schema.org/LikeAction","userInteractionCount":118},{"@type":"InteractionCounter","interactionType":"https://schema.org/ShareAction","userInteractionCount":396},{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":260}]}},{"@type":"ListItem","position":9,"item":{"@type":"SocialMediaPosting","@id":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/726","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/726","mainEntityOfPage":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/726","headline":"👨🏻‍💻 6 Free Python Certifications >>> Python for Beginners - https://learn.microsoft.com/en-us/shows/intro-to…","articleBody":"👨🏻‍💻 6 Free Python Certifications >>>\n\nPython for Beginners -\nhttps://learn.microsoft.com/en-us/shows/intro-to-python-development/\n\nProgramming with Python 3. X\nhttps://www.simplilearn.com/free-python-programming-course-skillup\n\nAdvanced Python -\nhttps://www.codecademy.com/learn/learn-advanced-python\n\nAI Python for Beginners -\nhttps://www.deeplearning.ai/short-courses/ai-python-for-beginners/\n\nPython Libraries for Data Science -\nhttps://www.simplilearn.com/learn-python-libraries-free-course-skillup\n\nData Analysis with Python -\nhttps://www.freecodecamp.org/learn/data-analysis-with-python/#data-analysis-with-python-course\n\nLearn more and practice more 👨🏻‍💻","datePublished":"2025-11-04T14:10:03Z","dateModified":"2025-11-04T14:26:03Z","author":{"@type":"Organization","name":"Pythonlearnerr","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr","image":"https://img.tlmtr.io/c/225CXf/6179177424965709964?ty=x"},"publisher":{"@type":"Organization","name":"Pythonlearnerr","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr","image":"https://img.tlmtr.io/c/225CXf/6179177424965709964?ty=x"},"commentCount":1,"interactionStatistic":[{"@type":"InteractionCounter","interactionType":"https://schema.org/ViewAction","userInteractionCount":400},{"@type":"InteractionCounter","interactionType":"https://schema.org/LikeAction","userInteractionCount":9},{"@type":"InteractionCounter","interactionType":"https://schema.org/ShareAction","userInteractionCount":8},{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":1}]}},{"@type":"ListItem","position":10,"item":{"@type":"SocialMediaPosting","@id":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/725","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/725","mainEntityOfPage":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/725","headline":"💡 𝗔𝗜 𝗶𝘀 𝗿𝗲𝘀𝗵𝗮𝗽𝗶𝗻𝗴 𝗲𝘃𝗲𝗿𝘆 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆. 𝗔𝗿𝗲 𝘆𝗼𝘂 𝗿𝗲𝗮𝗱𝘆? Build the skills top AI teams hire for — from intelligent ag…","articleBody":"💡 𝗔𝗜 𝗶𝘀 𝗿𝗲𝘀𝗵𝗮𝗽𝗶𝗻𝗴 𝗲𝘃𝗲𝗿𝘆 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆. 𝗔𝗿𝗲 𝘆𝗼𝘂 𝗿𝗲𝗮𝗱𝘆?\nBuild the skills top AI teams hire for — from intelligent agents to fine-tuned LLMs.\n𝗧𝘄𝗼 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝘀 𝘁𝗼 𝗔𝗜 𝗺𝗮𝘀𝘁𝗲𝗿𝘆:\n🤖 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 (100% FREE)\nLearn to build and deploy autonomous, tool-using AI systems.\n→ https://go.readytensor.ai/cert-501-agentic-ai-certification\n🧠 𝗟𝗟𝗠 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 (Launch Date Oct 22)\nMaster fine-tuning and deploying large language models.\n→ https://go.readytensor.ai/cert-501-llm-engg-certification\n\n✅ Self-paced learning\n✅ Real portfolio projects\n✅ Industry-aligned skills\nJoin 30,000+ learners from 130+ countries already building the future in AI.","datePublished":"2025-10-22T12:50:01Z","dateModified":"2025-10-24T17:12:30Z","author":{"@type":"Organization","name":"Pythonlearnerr","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr","image":"https://img.tlmtr.io/c/225CXf/6179177424965709964?ty=x"},"publisher":{"@type":"Organization","name":"Pythonlearnerr","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr","image":"https://img.tlmtr.io/c/225CXf/6179177424965709964?ty=x"},"commentCount":12,"interactionStatistic":[{"@type":"InteractionCounter","interactionType":"https://schema.org/ViewAction","userInteractionCount":4407},{"@type":"InteractionCounter","interactionType":"https://schema.org/LikeAction","userInteractionCount":12},{"@type":"InteractionCounter","interactionType":"https://schema.org/ShareAction","userInteractionCount":10},{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":12}]}},{"@type":"ListItem","position":11,"item":{"@type":"SocialMediaPosting","@id":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/724","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/724","mainEntityOfPage":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/724","headline":"Reply Correct Answer 👇","articleBody":"Reply Correct Answer 👇","datePublished":"2025-10-15T15:37:15Z","dateModified":"2025-10-15T15:37:15Z","author":{"@type":"Organization","name":"Pythonlearnerr","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr","image":"https://img.tlmtr.io/c/225CXf/6179177424965709964?ty=x"},"publisher":{"@type":"Organization","name":"Pythonlearnerr","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr","image":"https://img.tlmtr.io/c/225CXf/6179177424965709964?ty=x"},"commentCount":640,"interactionStatistic":[{"@type":"InteractionCounter","interactionType":"https://schema.org/ViewAction","userInteractionCount":25054},{"@type":"InteractionCounter","interactionType":"https://schema.org/LikeAction","userInteractionCount":39},{"@type":"InteractionCounter","interactionType":"https://schema.org/ShareAction","userInteractionCount":7},{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":640}]}},{"@type":"ListItem","position":12,"item":{"@type":"SocialMediaPosting","@id":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/718","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/718","mainEntityOfPage":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/718","headline":"Pythonlearnerr","datePublished":"2025-09-20T13:18:52Z","dateModified":"2025-09-20T13:18:52Z","author":{"@type":"Organization","name":"Pythonlearnerr","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr","image":"https://img.tlmtr.io/c/225CXf/6179177424965709964?ty=x"},"publisher":{"@type":"Organization","name":"Pythonlearnerr","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr","image":"https://img.tlmtr.io/c/225CXf/6179177424965709964?ty=x"},"commentCount":24,"interactionStatistic":[{"@type":"InteractionCounter","interactionType":"https://schema.org/ViewAction","userInteractionCount":25694},{"@type":"InteractionCounter","interactionType":"https://schema.org/LikeAction","userInteractionCount":105},{"@type":"InteractionCounter","interactionType":"https://schema.org/ShareAction","userInteractionCount":206},{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":24}]}},{"@type":"ListItem","position":13,"item":{"@type":"SocialMediaPosting","@id":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/713","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/713","mainEntityOfPage":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/713","headline":"Pythonlearnerr","datePublished":"2025-09-20T13:15:04Z","dateModified":"2025-09-20T13:18:40Z","author":{"@type":"Organization","name":"Pythonlearnerr","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr","image":"https://img.tlmtr.io/c/225CXf/6179177424965709964?ty=x"},"publisher":{"@type":"Organization","name":"Pythonlearnerr","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr","image":"https://img.tlmtr.io/c/225CXf/6179177424965709964?ty=x"},"commentCount":0,"interactionStatistic":[{"@type":"InteractionCounter","interactionType":"https://schema.org/ViewAction","userInteractionCount":1}]}},{"@type":"ListItem","position":14,"item":{"@type":"SocialMediaPosting","@id":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/712","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/712","mainEntityOfPage":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/712","headline":"🚀 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⤵️\nhttps://go.readytensor.ai/cert-501-agentic-ai-certification","datePublished":"2025-09-18T10:46:47Z","dateModified":"2025-12-07T08:18:56Z","author":{"@type":"Organization","name":"Pythonlearnerr","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr","image":"https://img.tlmtr.io/c/225CXf/6179177424965709964?ty=x"},"publisher":{"@type":"Organization","name":"Pythonlearnerr","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr","image":"https://img.tlmtr.io/c/225CXf/6179177424965709964?ty=x"},"commentCount":24,"interactionStatistic":[{"@type":"InteractionCounter","interactionType":"https://schema.org/ViewAction","userInteractionCount":24315},{"@type":"InteractionCounter","interactionType":"https://schema.org/LikeAction","userInteractionCount":20},{"@type":"InteractionCounter","interactionType":"https://schema.org/ShareAction","userInteractionCount":57},{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":24}]}},{"@type":"ListItem","position":15,"item":{"@type":"SocialMediaPosting","@id":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/711","url":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/711","mainEntityOfPage":"https://telemetr.io/es/channels/1863159721-pythonlearnerr/posts/711","headline":"🐍 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WiFi Passwords Source Code (2) (1).py0.01 KB

Sometimes reality outpaces expectations in the most unexpected ways. While global AI development seems increasingly fragmented, Sber just released Europe's largest open-source AI collection—full weights, code, and commercial rights included. ✅ No API paywalls. ✅ No usage restrictions. ✅ Just four complete model families ready to run in your private infrastructure, fine-tuned on your data, serving your specific needs. What makes this release remarkable isn't merely the technical prowess, but the quiet confidence behind sharing it openly when others are building walls. Find out more in the article from the developers. GigaChat Ultra Preview: 702B-parameter MoE model (36B active per token) with 128K context window. Trained from scratch, it outperforms DeepSeek V3.1 on specialized benchmarks while maintaining faster inference than previous flagships. Enterprise-ready with offline fine-tuning for secure environments. GitHub | HuggingFace | GitVerse GigaChat Lightning offers the opposite balance: compact yet powerful MoE architecture running on your laptop. It competes with Qwen3-4B in quality, matches the speed of Qwen3-1.7B, yet is significantly smarter and larger in parameter count. Lightning holds its own against the best open-source models in its class, outperforms comparable models on different tasks, and delivers ultra-fast inference—making it ideal for scenarios where Ultra would be overkill and speed is critical. Plus, it features stable expert routing and a welcome bonus: 256K context support. GitHub | Hugging Face | GitVerse Kandinsky 5.0 brings a significant step forward in open generative models. The flagship Video Pro matches Veo 3 in visual quality and outperforms Wan 2.2-A14B, while Video Lite and Image Lite offer fast, lightweight alternatives for real-time use cases. The suite is powered by K-VAE 1.0, a high-efficiency open-source visual encoder that enables strong compression and serves as a solid base for training generative models. This stack balances performance, scalability, and practicality—whether you're building video pipelines or experimenting with multimodal generation. GitHub | GitVerse | Hugging Face | Technical report Audio gets its upgrade too: GigaAM-v3 delivers speech recognition model with 50% lower WER than Whisper-large-v3, trained on 700k hours of audio with punctuation/normalization for spontaneous speech. GitHub | HuggingFace | GitVerse Every model can be deployed on-premises, fine-tuned on your data, and used commercially. It's not just about catching up – it's about building sovereign AI infrastructure that belongs to everyone who needs it.

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Legend Form Complete Source Code 👇 ----------------------------------------------------- <html> <head> <style> .outer{  margin:auto; height:300px; width:400px; border:2px solid black; position:relative } p{ margin-left:80px; } .in{ margin-left:80px; padding:10px } #bt{ margin-top:20px; position:absolute; left:150px; } #bt:hover{ background:green; font-size:13px; cursor:pointer; color:white; } </style> <script> function fa(){ if(a.value=="" || b.value==""){ f() document.getElementById("a").style.border="3px solid red" document.getElementById("b").style.border="3px solid red" bt.value="Pahila data tak" } else{ document.getElementById("a").style.border="3px solid green" document.getElementById("b").style.border="3px solid green" bt.value="Ha thik ahe ata" bt.style.left="120px"; } } flag=1 function f(){ if(flag==1){ bt.style.left="210px" flag=2 } else if(flag==2){ bt.style.left="80px" flag=1 } } </script> </head> <body> <div class="outer"> <h1 style="text-align:center">Legend form</h1> <p>Enter Id</p> <input class="in" type="text" placeholder="Enter id" id="a"/> <p>Enter Confirm Pass</p> <input class="in" type="password" placeholder="Enter password" id="b"/> <br> <input type="submit" onmouseenter="fa()" onclick="alert('waaaa')" id="bt" /> </div> </body> </html>

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