Learn Python Coding

前往频道在 Telegram

Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho

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网络:Machine Learning with Python 印度10 504 技术与应用3 497...

📈 Telegram 频道 Learn Python Coding 的分析概览

频道 Learn Python Coding (@pythonre) 英语语言赛道中的是活跃参与者。目前社区聚集了 39 190 名订阅者，在 技术与应用 类别中位列第 3 497，并在印度地区排名第 10 504 位。

📊 受众指标与增长动态

自 невідомо 创建以来，项目保持高速增长，吸引了 39 190 名订阅者。

根据 11 六月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 445，过去 24 小时变化为 15，整体触达仍然可观。

认证状态： 未认证
互动率 (ER)： 平均受众互动率为 2.22%。内容发布后 24 小时内通常能获得 0.91% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 870 次浏览，首日通常累积 358 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 4。
主题关注点： 内容集中在 math, harvard, oxford, supervision, waybienad 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台：
“Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho”

凭借高频更新（最新数据采集于 12 六月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。

39 190

订阅者

+1524 小时

+857 天

+44530 天

870

帖子浏览量

~ 35824 小时

~ 44548 小时

2.22%

参与率

~ 3

每日帖子数

Ads index

beta

帖子存档

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8. Set up the user interface and trigger the main function. • Provides an input field for the user's question • Triggers the main function when the user clicks "Get Answer"

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7. Define the main function to run all LLMs and aggregate results. • Runs all reference models asynchronously • Displays individual responses in expandable sections • Aggregates responses using the aggregator model • Streams the aggregated response.

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6. Implement the LLM call function. • Asynchronously calls the LLM with the user's prompt • Returns the model name and its response

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5. Define the models and aggregator system prompt. • Specifies the LLMs to be used for generating responses • Defines the aggregator model and its system prompt

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4. Initialize Together AI clients. • Sets up Together API key as an environment variable • Initializes both synchronous and asynchronous Together clients

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3. Set up the Streamlit app and API key input. • Creates a title for the app • Adds a secure input field for the Together API key

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2. Import necessary libraries • Streamlit for the web interface • asyncio for asynchronous operations • Together AI for LLM interactions

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1. Install the necessary Python Libraries Run the following commands from your terminal to install the required libraries:

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🧠 Build your own ChatGPT

Build an LLM app with Mixture of AI Agents using small Open Source LLMs that can beat GPT-4o in just 40 lines of Python Code

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🔰 Python Set Methods

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