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Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

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Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data

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๐Ÿ“ˆ Analytical overview of Telegram channel Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

Channel Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) in the English language segment is an active participant. Currently, the community unites 56 116 subscribers, ranking 2 374 in the Technologies & Applications category and 6 521 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 56 116 subscribers.

According to the latest data from 11 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 90 over the last 30 days and by 6 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.81%. Within the first 24 hours after publication, content typically collects 0.87% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 578 views. Within the first day, a publication typically gains 489 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
  • Thematic interests: Content is focused on key topics such as algorithm, structure, stack, javascript, programming.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œEverything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_dataโ€

Thanks to the high frequency of updates (latest data received on 12 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

56 116
Subscribers
+624 hours
+327 days
+9030 days
Posts Archive
๐Ÿฐ ๐—™๐—ฅ๐—˜๐—˜ ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€๐Ÿ˜ These free, Microsoft-backed courses are a game-ch
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10 Python Concepts Every Developer Should Know โœ… List Comprehensions โ€“ Write cleaner loops in a single line โœ… Lambda Functions โ€“ Anonymous functions for quick operations โœ… Decorators โ€“ Add functionality to functions without changing them โœ… Generators & Iterators โ€“ Handle large data efficiently with lazy evaluation โœ… OOP (Classes & Inheritance) โ€“ Build scalable, reusable code โœ… Exception Handling โ€“ Write error-proof programs with try-except blocks โœ… Modules & Packages โ€“ Organize your code like a pro โœ… Virtual Environments (venv) โ€“ Keep dependencies isolated per project โœ… File Handling (with open) โ€“ Read/write files securely โœ… Type Hinting โ€“ Make your code more readable and less error-prone Free Python Resources:

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Python Cheatsheet โ™ฅ๏ธ 1. Common Data Types int, float โ€“ numbers str โ€“ text list โ€“ ordered, changeable collection dict โ€“ key-value pairs tuple โ€“ like list, but unchangeable set โ€“ unique, unordered items 2. Essential Functions print() โ€“ display output type() โ€“ check data type len() โ€“ count items range() โ€“ generate numbers input() โ€“ take user input 3. String Methods .upper(), .lower() โ€“ change case .strip() โ€“ remove whitespace .replace() โ€“ swap text .split() โ€“ break into list 4. List Methods append() โ€“ add item pop() โ€“ remove item sort() โ€“ sort list [1:4] โ€“ 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 โ€“ conditions for โ€“ loop over items while โ€“ loop with condition break / continue โ€“ control loop 7. Functions def โ€“ define a function return โ€“ return a value lambda โ€“ short anonymous function 8. Useful Built-in Modules math โ€“ sqrt, pi, round random โ€“ random numbers, choices datetime โ€“ current date/time os โ€“ system & file handling 9. Popular Libraries for Data Work NumPy โ€“ numerical operations Pandas โ€“ dataframes and analysis Matplotlib React with โค๏ธ for more useful Cheatsheets #python

โŒจ๏ธ Hide secret message in image using Python
โŒจ๏ธ Hide secret message in image using Python

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