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π˜Ύπ˜Ώπ™„ (π™‰π™Šπ™π™€π™Ž) 🚩

π˜Ύπ˜Ώπ™„ (π™‰π™Šπ™π™€π™Ž) 🚩

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HANDWRITTEN NOTES

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πŸ“ˆ Analytical overview of Telegram channel π˜Ύπ˜Ώπ™„ (π™‰π™Šπ™π™€π™Ž) 🚩

Channel π˜Ύπ˜Ώπ™„ (π™‰π™Šπ™π™€π™Ž) 🚩 (@cdinotes) in the English language segment is an active participant. Currently, the community unites 19 281 subscribers, ranking 10 344 in the Education category and 21 864 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 19 281 subscribers.

According to the latest data from 31 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 1 187 over the last 30 days and by 184 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 19.91%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
  • Thematic interests: Content is focused on key topics such as vector, cybersecurity, flag, javascript, plane.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œHANDWRITTEN NOTES”

Thanks to the high frequency of updates (latest data received on 01 August, 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 Education category.

19 281
Subscribers
+18424 hours
+8487 days
+1 18730 days
Posts Archive
⚠️ Time Over Now ⚠️

πŸ”“ Last 01 Hour More Left πŸ”“

πŸ”“ Only 05 Hour More Left πŸ”“

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ML Roadmap: from the basics to mastering vibe coding A learning map for machine learning (Machine Learning, Deep Learning, LL
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CHALLENGE
const x = 15;
const y = 10;
const z = 3;

const result1 = x & y;
const result2 = x | y;
const result3 = x ^ y;
const result4 = ~x;
const result5 = y << z;
const result6 = y >> 1;

console.log(`${result1},${result2},${result3},${result4},${result5},${result6}`);

CHALLENGE
const x = 15; const y = 10; const z = 3; const result1 = x & y; const result2 = x | y; const result3 = x ^ y; const result4 = ~x; const result5 = y << z; const result6 = y >> 1; console.log(
${result1},${result2},${result3},${result4},${result5},${result6});

CHALLENGE
const x = 15; const y = 10; const z = 3; const result1 = x & y; const result2 = x | y; const result3 = x ^ y; const result4 = ~x; const result5 = y << z; const result6 = y >> 1; console.log(
${result1},${result2},${result3},${result4},${result5},${result6});

CHALLENGE
const x = 15; const y = 10; const z = 3; const result1 = x & y; const result2 = x | y; const result3 = x ^ y; const result4 = ~x; const result5 = y << z; const result6 = y >> 1; console.log(
${result1},${result2},${result3},${result4},${result5},${result6});

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