Python learning
前往频道在 Telegram
📈 Telegram 频道 Python learning 的分析概览
频道 Python learning (@python3learning) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 22 882 名订阅者，在 教育 类别中位列第 8 592，并在 印度 地区排名第 18 283 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 22 882 名订阅者。
根据 25 八月, 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 -259，过去 24 小时变化为 -11，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 6.20%。内容发布后 24 小时内通常能获得 N/A% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 0 次浏览，首日通常累积 0 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 0。
📝 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🔥”
凭借高频更新（最新数据采集于 26 八月, 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 教育 类别中的关键影响点。
22 882
订阅者
-1124 小时
-667 天
-25930 天
数据加载中...
吸引订阅者
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| 日期 | 订阅者增长 | 提及 | 频道 | |
| 26 八月 | +1 | |||
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频道帖子
🐍 Python 3.15 Changed More Than I Expected
I've been writing Python for years, and this release surprised me.
🔥 Faster performance
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Most developers haven't noticed these changes yet.
https://medium.com/@vaishnavi.singh0324/python-3-15-changed-more-than-i-expected-and-ive-been-writing-python-for-8-years-a10af41bc6e4
| 2 | Read “Python 3.15 Changed More Than I Expected And I’ve Been Writing Python for 8 Years“ by The AI Coder on Medium:👇 https://medium.com/@vaishnavi.singh0324/python-3-15-changed-more-than-i-expected-and-ive-been-writing-python-for-8-years-a10af41bc6e4 | 102 |
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| 4 |  I Built an AI Agent in Python in Under 30 Minutes — Here’s Exactly How 👇
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| 5 |  I Tested 5 Python ORMs. One Replaced SQLAlchemy Completely. 👇
https://medium.com/@atharvjaiswal56/i-tested-5-python-orms-one-replaced-sqlalchemy-completely-ca195b012d3b | 2 349 |
| 6 |  I Tested 4 RAG Architectures. One Survived Production 👇
https://medium.com/ai-in-plain-english/i-tested-4-rag-architectures-one-survived-production-181f1a1111a6 | 2 768 |
| 7 | I Tested 4 RAG Architectures. One Survived Production 👉🏻
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#coding #ai #programming #developers #webdev #ai_tools | 2 901 |
| 9 |  🚀 Python Developers, This Changes Everything!
uv is replacing pip, venv, and even Poetry ⚡
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I wrote a detailed Medium article explaining everything in easy words 👇
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If you enjoy Python, AI & Dev content, follow me on Medium ❤️ | 2 966 |
| 10 |  *FREE Data Analytics Workshop – Power BI & Tableau*
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| 16 | Top 50 Data Analyst Interview Questions (2025) 🎯📊
1. What does a data analyst do?
2. Difference between data analyst, data scientist, and data engineer.
3. What are the key skills every data analyst must have?
4. Explain the data analysis process.
5. What is data wrangling or data cleaning?
6. How do you handle missing values?
7. What is the difference between structured and unstructured data?
8. How do you remove duplicates in a dataset?
9. What are the most common data types in Python or SQL?
10. What is the difference between INNER JOIN and LEFT JOIN?
11. Explain the concept of normalization in databases.
12. What are measures of central tendency?
13. What is standard deviation and why is it important?
14. Difference between variance and covariance.
15. What are outliers and how do you treat them?
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17. Explain p-value in simple terms.
18. What is correlation vs. causation?
19. How do you explain insights from a dashboard to non-technical stakeholders?
20. What tools do you use for data visualization?
21. Difference between Tableau and Power BI.
22. What is a pivot table?
23. How do you build a dashboard from scratch?
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50. What are your favorite analytics tools and why?
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| 18 | 💡 25 VS Code Extensions Every Dev Should Try 💻
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🔥 React “❤️” if you use VS Code daily! | 2 366 |
| 19 | ***
✅ *Python Logic Building Interview Question* 🧠🐍
You have a list of numbers: nums = [3, 5, 7, 9, 12, 17, 20, 21]
*Question:*
Find and print all numbers in the list that are prime.
*Expected Output:* [3, 5, 7, 17]
*Python Code:* def is_prime(n):
if n < 2:
return False
for i in range(2, int(n**0.5) + 1):
if n % i == 0:
return False
return True
prime_nums = [n for n in nums if is_prime(n)]
print(prime_nums)
*Explanation:*
– Checks each number with is_prime() logic
– Uses list comprehension for concise filtering
– Prints list of all prime numbers
💬 *Tap ❤️ for more logic-building questions!* | 2 355 |
| 20 | ✅ *Python Scenario-Based Interview Question* 🧠🐍
You have a list: numbers = [1, 2, 3, 2, 4, 1, 5, 2]
*Question:*
Find the number that appears most frequently in the list.
*Expected Output:* 2
*Python Code:* from collections import Counter
most_common_num = Counter(numbers).most_common(1)[0][0]
print(most_common_num)
*Explanation:*
– Counter() counts occurrences of each element
– most_common(1) returns the most frequent item
– Access [0][0] to get just the number
💬 *Tap ❤️ for more bite-sized Python tips!*
***
Would you like the next one to be slightly more advanced (e.g., involving strings or list comprehensions)? | 2 003 |
