现已上线！2025 年 Telegram 研究 — 年度关键洞察 
Coding Projects
前往频道在 Telegram
Channel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_data
显示更多📈 Telegram 频道 Coding Projects 的分析概览
频道 Coding Projects (@programming_experts) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 66 163 名订阅者，在 技术与应用 类别中位列第 1 981，并在 印度 地区排名第 5 113 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 66 163 名订阅者。
根据 19 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 784，过去 24 小时变化为 1，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 3.20%。内容发布后 24 小时内通常能获得 0.95% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 2 117 次浏览，首日通常累积 627 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 5。
- 主题关注点： 内容集中在 |--, algorithm, array, framework, javascript 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：
“Channel specialized for advanced concepts and projects to master:
* Python programming
* Web development
* Java programming
* Artificial Intelligence
* Machine Learning
Managed by: @love_data”
凭借高频更新（最新数据采集于 20 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。
66 163
订阅者
+124 小时
+1397 天
+78430 天
帖子存档
66 163
Here we have compiled a list of 40+ cheat sheets that cover a wide range of topics essential for you. 👇
1. HTML & CSS :- htmlcheatsheet.com
2. JavaScript :- https://lnkd.in/dfSvFuhM
3. Jquery :- https://lnkd.in/dcvy6kmQ
4. Bootstrap 5 :- https://lnkd.in/dNZ6qdBh
5. Tailwind CSS :- https://lnkd.in/d_T5q5Tx
6. React :- https://t.me/Programming_experts/230
7. Python :- https://t.me/pythondevelopersindia/99
8. MongoDB :- https://lnkd.in/dBXxCQ43
9. SQL :- https://t.me/sqlspecialist/222
10. Nodejs :- https://lnkd.in/dwry8BKH
11. Expressjs :- https://lnkd.in/d3BMMwem
12. Django :- https://lnkd.in/dYWQKZnT
13. PHP :- https://quickref.me/php
14. Google Dork :- https://lnkd.in/dKej3-42
15. Linux :- https://lnkd.in/dCgH_qUq
16. Git :- https://lnkd.in/djf9Wc98
17. VSCode :- https://quickref.me/vscode
18. PC Keyboard :- http://bit.ly/3luF73K
19. Data Structures and Algorithms :- https://lnkd.in/d75ijyr3
20. DSA Practice :- https://lnkd.in/dDc6SaR8
21. Data Science :- https://lnkd.in/dHaxPYYA
22. Flask :- https://lnkd.in/dkUyWHqR
23. CCNA :- https://lnkd.in/dE_yD6ny
24. Cloud Computing :- https://lnkd.in/d9vggegr
25. Machine Learning :- https://t.me/learndataanalysis/29
26. Windows Command :- https://lnkd.in/dAMeCywP
27. Computer Basics :- https://lnkd.in/d9yaNaWN
28. MySQL :- https://lnkd.in/d7iJjSpQ
29. PostgreSQL :- https://lnkd.in/dDHQkk5f
30. MSExcel :- https://bit.ly/3Jz0dpG
31. MSWord :- https://lnkd.in/dAX4FGkR
32. Java :- https://lnkd.in/dRe98iSB
33. Cryptography :- https://lnkd.in/dYvRHAH9
34. C++ :- https://lnkd.in/d4GjE2kd
35. C :- https://lnkd.in/diuHU72d
36. Resume Creation :- https://bit.ly/3JA3KnJ
37. ChatGPT :- https://lnkd.in/dsK37bSj
38. Docker :- https://lnkd.in/dNVJxYNa
39. Gmail :- bit.ly/3JX68pR
40. AngularJS :- bit.ly/3yYY0ik
41. Atom Text Editor :- bit.ly/40oJFY9
42. R Programming :- bit.ly/3Jysq00
66 163
Practice projects to consider:
1. Implement a basic search engine: Read a set of documents and build an index of keywords. Then, implement a search function that returns a list of documents that match the query.
2. Build a recommendation system: Read a set of user-item interactions and build a recommendation system that suggests items to users based on their past behavior.
3. Create a data analysis tool: Read a large dataset and implement a tool that performs various analyses, such as calculating summary statistics, visualizing distributions, and identifying patterns and correlations.
4. Implement a graph algorithm: Study a graph algorithm such as Dijkstra's shortest path algorithm, and implement it in Python. Then, test it on real-world graphs to see how it performs.
66 163
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66 163
🚀10 API-based project ideas
1. QR code generator
2. Weather app
3. Translation app
4. Chatbot
5. Geolocation app
6. Messaging app
7. Sentiment analysis
8. COVID tracker
9. URL shortener
10. Music player
