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📈 Аналитический обзор Telegram-канала Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

Канал Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 56 116 подписчиков, занимая 2 374 место в категории Технологии и приложения и 6 521 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 56 116 подписчиков.

Согласно последним данным от 11 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 90, а за последние 24 часа — 6, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.81%. В первые 24 часа после публикации контент обычно набирает 0.87% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 1 578 просмотров. В течение первых суток публикация набирает 489 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 4.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как algorithm, structure, stack, javascript, programming.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data

Благодаря высокой частоте обновлений (последние данные получены 12 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 Технологии и приложения.

56 116
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𝟰 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 These free, Microsoft-backed courses are a game-ch
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10 Python Concepts Every Developer Should KnowList Comprehensions – Write cleaner loops in a single line ✅ Lambda Functions – Anonymous functions for quick operations ✅ Decorators – Add functionality to functions without changing them ✅ Generators & Iterators – Handle large data efficiently with lazy evaluation ✅ OOP (Classes & Inheritance) – Build scalable, reusable code ✅ Exception Handling – Write error-proof programs with try-except blocks ✅ Modules & Packages – Organize your code like a pro ✅ Virtual Environments (venv) – Keep dependencies isolated per project ✅ File Handling (with open) – Read/write files securely ✅ Type Hinting – Make your code more readable and less error-prone Free Python Resources:

𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲 𝗣𝗿𝗲𝘃𝗶𝗲𝘄 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 - Data Analytics - Python - SQL - Excel - Da
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Python Cheatsheet ♥️ 1. Common Data Types int, float – numbers str – text list – ordered, changeable collection dict – key-value pairs tuple – like list, but unchangeable set – unique, unordered items 2. Essential Functions print() – display output type() – check data type len() – count items range() – generate numbers input() – take user input 3. String Methods .upper(), .lower() – change case .strip() – remove whitespace .replace() – swap text .split() – break into list 4. List Methods append() – add item pop() – remove item sort() – sort list [1:4] – slicing (get part of list) 5. Dictionary Basics Access: mydict['key'] Safe access: mydict.get('key') Add/Update: mydict['new'] = value 6. Control Flow if / elif / else – conditions for – loop over items while – loop with condition break / continue – control loop 7. Functions def – define a function return – return a value lambda – short anonymous function 8. Useful Built-in Modules math – sqrt, pi, round random – random numbers, choices datetime – current date/time os – system & file handling 9. Popular Libraries for Data Work NumPy – numerical operations Pandas – dataframes and analysis Matplotlib React with ❤️ for more useful Cheatsheets #python

⌨️ Hide secret message in image using Python
⌨️ Hide secret message in image using Python

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