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Python Courses & Resources

Python Courses & Resources

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Master Python with step-by-step courses – from basics to advanced projects and practical applications.

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📈 Аналитический обзор Telegram-канала Python Courses & Resources

Канал Python Courses & Resources (@python53) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 49 111 подписчиков, занимая 3 610 место в категории Образование и 7 855 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 49 111 подписчиков.

Согласно последним данным от 09 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 523, а за последние 24 часа — 23, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.62%. В первые 24 часа после публикации контент обычно набирает 1.15% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 1 287 просмотров. В течение первых суток публикация набирает 563 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 3.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как consultation, dentist, insidead, waybienad, appointment.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
Master Python with step-by-step courses – from basics to advanced projects and practical applications.

Благодаря высокой частоте обновлений (последние данные получены 10 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.

49 111
Подписчики
+2324 часа
+1257 дней
+52330 день
Архив постов
MIT OCW 6.100L Introduction to CS and Programming using .zip.0014000.00 MB

MIT OCW 6.100L Introduction to CS and Programming using Python (Fall 2022) 🖥 By: https://t.me/Python53 ⭐️ BEST DATA SCIENCE
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🔴 Free Python course for GenAI 👩🏻‍💻 Guys , GenAI Community has created a free Python training course where you will learn
🔴 Free Python course for GenAI 👩🏻‍💻 Guys , GenAI Community has created a free Python training course where you will learn both Python and its application in generative artificial intelligence! ✏️ The classes are live, but the videos of the classes are recorded and you can access them in your user panel. They last 10 to 12 weeks and are completely free! ✅ If you want to learn Python from scratch and enter the world of Generative Artificial Intelligence (GenAI), this course is for you! You don't need a programming background, just a desire to learn! 🥵 What will you learn in this course? ✅ Python concepts: conditionals, loops, data structures ✅ Working with APIs, File Management, and Regex ✅ Object-oriented programming and modular coding ✅ And a whole host of other skills that will pave your way into the world of artificial intelligence and data science. 🔔 I should also mention that this community grew 5 times last year and is now one of the largest AI communities in the world. In the last hackathon they held, 5,000 people from all over the world participated and a prize of $25,000 was distributed among them. 📣 It's completely free! No cost, no limits, with a community of people eager to learn.👇 🔗 Learn Python for FREE (GenAI Python) Here are some suitable hashtags for the description in English, in a single line: #Python #GenAI #FreeCourse #ArtificialIntelligence #DataScience #Programming #LearnToCode #AI #MachineLearning #Coding #Tech #Education #OnlineLearning #FreeTraining #GenerativeAI https://t.me/CodeProgrammer 🐍

Is this the disruption we've been waiting for? China's open-source model, DeepSeek, is outperforming ChatGPT & Claude in benc
Is this the disruption we've been waiting for? China's open-source model, DeepSeek, is outperforming ChatGPT & Claude in benchmarks—and it's 20-30x cheaper! 📅 Thursday, Jan 30 | 9 PM IST Join Our FREE Workshop:- 1. Live comparison: DeepSeek vs. ChatGPT in reasoning, coding & math. 2. Cost-saving insights: Why DeepSeek is a game-changer. 3. Build your first DeepSeek-powered app, live! Register now: https://lu.ma/ael5tq70?tk=23oh65 Join Our Telegram channel; https://t.me/BuildFastWithAI

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More Python Tips, Tricks, and Techniques for Data Science
More Python Tips, Tricks, and Techniques for Data Science

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LOOKING FOR A NEW SOURCE OF INCOME? Average earnings from 100$ a day Lisa is looking for people who want to earn money. If you are responsible, motivated and want to change your life. Welcome to her channel. WHAT YOU NEED TO WORK: 1. phone or computer 2. Free 15-20 minutes a day 3. desire to earn ❗️ Requires 20 people ❗️ Access is available at the link below 👇 https://t.me/+EWM2hR1d_As0ZDA5

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More Python Tips, Tricks, and Techniques for Data Science.zip345.17 MB

More Python Tips, Tricks, and Techniques for Data Science

More Python Tips, Tricks, and Techniques for Data Science

More Python Tips, Tricks, and Techniques for Data Science
More Python Tips, Tricks, and Techniques for Data Science

Is this the disruption we've been waiting for? China's open-source model, DeepSeek, is outperforming ChatGPT & Claude in benc
Is this the disruption we've been waiting for? China's open-source model, DeepSeek, is outperforming ChatGPT & Claude in benchmarks—and it's 20-30x cheaper! 📅 Thursday, Jan 30 | 9 PM IST Join Our FREE Workshop:- 1. Live comparison: DeepSeek vs. ChatGPT in reasoning, coding & math. 2. Cost-saving insights: Why DeepSeek is a game-changer. 3. Build your first DeepSeek-powered app, live! Register now: https://lu.ma/ael5tq70?tk=23oh65 Join Our Telegram channel; https://t.me/BuildFastWithAI

📶 Deep Learning: Model Optimization and Tuning 🌐 Author: Kumaran Ponnambalam 🔰 Level: Advanced ⏰ Duration: 54m 🌀 Learn ab
📶 Deep Learning: Model Optimization and Tuning 🌐 Author: Kumaran Ponnambalam 🔰 Level: AdvancedDuration: 54m
🌀 Learn about various optimization and tuning options available for deep learning models and use them to improve models.
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The Best Python Cheat Sheet.pdf4.35 KB

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