Data Science
DS По всем вопросам- @haarrp @ai_machinelearning_big_data - machine learning @pythonl - Python @itchannels_telegram - 🔥 best it channels @ArtificialIntelligencedl - AI @pythonlbooks-📚 @programming_books_it -📚 Реестр РКН: https://clck.ru/3Fk3zS
Show more📈 Analytical overview of Telegram channel Data Science
Channel Data Science (@datascienceiot) is an active participant. Currently, the community unites 41 907 subscribers, ranking 3 245 in the Technologies & Applications category and 15 287 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 41 907 subscribers.
According to the latest data from 17 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -34 over the last 30 days and by -10 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 8.70%. Within the first 24 hours after publication, content typically collects 3.10% reactions from the total number of subscribers.
- Post reach: On average, each post receives 3 645 views. Within the first day, a publication typically gains 1 301 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 llm, агентов, api, октября, разработчиков.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“DS
По всем вопросам- @haarrp
@ai_machinelearning_big_data - machine learning
@pythonl - Python
@itchannels_telegram - 🔥 best it channels
@ArtificialIntelligencedl - AI
@pythonlbooks-📚
@programming_books_it -📚
Реестр РКН: https://clck.ru/3...”
Thanks to the high frequency of updates (latest data received on 18 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.
<code_editing_rules>
<guiding_principles>
- Every component should be modular and reusable
</guiding_principles>
<frontend_stack_defaults>
- Styling: TailwindCSS
</frontend_stack_defaults>
</code_editing_rules>
4️⃣Избегайте ультра-жёстких требований. Фразы «будь ПРЕДЕЛЬНО тщателен» → тонна лишнего текста.
5️⃣Давайте ИИ пространство для планирования и саморефлексии. Например, при создании приложений с нуля:
<self_reflection>
- Think of a rubric first
- Deeply analyze each part
- Use rubric to iterate best solution
</self_reflection>
6️⃣ Контролируйте «синдром отличника». GPT-5 сам любит усложнять. Чтобы держать в узде:
<persistence>
- Don’t ask human for confirmation
- Make best assumption
- Document it after acting
</persistence>
📌 Полный PDF со всеми деталями — тут
🚀 Генератор/оптимизатор промптов для GPT-5 — тут.
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