Machine Learning with Python
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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho
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Сітка:📈 Аналітичний огляд Telegram-каналу Machine Learning with Python
Канал Machine Learning with Python (@codeprogrammer) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 68 128 підписників, посідаючи 2 370 місце в категорії Освіта та 4 740 місце у регіоні Індія.
📊 Показники аудиторії та динаміка
З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 68 128 підписників.
За останніми даними від 29 серпня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 67, а за останні 24 години на 13, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
- Рівень залученості (ER): Середній показник залученості аудиторії становить 3.98%. Протягом перших 24 годин після публікації контент зазвичай збирає 1.55% реакцій від загальної кількості підписників.
- Охоплення публікацій: В середньому кожен допис отримує 2 714 переглядів. Протягом першої доби публікація в середньому набирає 1 053 переглядів.
- Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 6.
- Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як insidead, learning, degree, evaluation, algorithm.
📝 Опис та контентна політика
Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
Admin: @HusseinSheikho || @Hussein_Sheikho”
Завдяки високій частоті оновлень (останні дані отримано 30 серпня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Освіта.
68 128
Підписники
+1324 години
-567 днів
+6730 день
Архів дописів
Repost from Github Top Repositories
🔥 Trending Repository: best-of-ml-python
📝 Description: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🔗 Repository URL: https://github.com/lukasmasuch/best-of-ml-python
🌐 Website: https://ml-python.best-of.org
📖 Readme: https://github.com/lukasmasuch/best-of-ml-python#readme
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💻 Programming Languages: Not available
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📝 Description: Learn System Design concepts and prepare for interviews using free resources.
🔗 Repository URL: https://github.com/ashishps1/awesome-system-design-resources
🌐 Website: https://blog.algomaster.io
📖 Readme: https://github.com/ashishps1/awesome-system-design-resources#readme
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Repost from Learn Python Coding
In Python, you can unpack sequences using *, to work with a variable number of elements. The * can be placed anywhere and it will collect all the extra elements into a separate variable.
a, b, c = 10, 2, 3 # Standard unpacking
a, *b = 10, 2, 3 # b = [2, 3]
a, *b, c = 10, 2, 3, 4 # b = [2, 3]
*a, b, c = 10, 2, 3, 4 # a = [10, 2]
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What's inside:
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Repost from Machine Learning
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