The Coding Space: C, C++, C#, Java, Python, Rust, Go, PHP and More
前往频道在 Telegram
Welcome to the ultimate destination for Programming and Coding Tutorials! 💻🎓 Dive into a world of coding with tutorials on Java, Python, C, C++, Rust, and more. Buy ads: https://telega.io/c/The_Coding_Space
显示更多未指定国家技术与应用5 228
📈 Telegram 频道 The Coding Space: C, C++, C#, Java, Python, Rust, Go, PHP and More 的分析概览
频道 The Coding Space: C, C++, C#, Java, Python, Rust, Go, PHP and More (@the_coding_space) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 25 326 名订阅者，在 技术与应用 类别中位列第 5 228。
📊 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 25 326 名订阅者。
根据 09 十一月, 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 181，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 11.90%。内容发布后 24 小时内通常能获得 3.75% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 3 014 次浏览，首日通常累积 950 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 programming, linkedin, linux, udemy, 040k| 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：
“Welcome to the ultimate destination for Programming and Coding Tutorials!
💻🎓 Dive into a world of coding with tutorials on Java, Python, C, C++, Rust, and more.
Buy ads: https://telega.io/c/The_Coding_Space”
凭借高频更新（最新数据采集于 10 十一月, 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。
25 326
订阅者
-124 小时
+1027 天
+18130 天
正在加载数据
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十一月 '2611月 '26
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| 日期 | 订阅者增长 | 提及 | 频道 | |
| 09 十一月 | 0 | |||
| 08 十一月 | 0 | |||
| 07 十一月 | +15 | |||
| 06 十一月 | +43 | |||
| 05 十一月 | +2 | |||
| 04 十一月 | +51 | |||
| 03 十一月 | +4 | |||
| 02 十一月 | +46 | |||
| 01 十一月 | +60 |
频道帖子
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| 2 | 🔅 PREMIUM CHANNELS
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216k| 🔰 Linkedin Learning
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133k| 🔰 Web Development
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125k| 🔰 Learn Python 3
096k| 🔰 Machine Learning
096k| 🔰 Learn JavaScript
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071k| 🔰 Artificial Intelligence
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053k| 🔰 Business and Finance
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042k| 🔰 Udemy Learning
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🔰 2hrs on top & 8hrs in channel! | 1 084 |
| 4 | 📦 Exercise Files | 3 275 |
| 5 | 📱The Coding Space
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| 13 |  🔅 Programming Foundations: Fundamentals
📝 Prepare to learn the fundamental concepts, practices, and terminology of programming in this introductory course.
🌐 Author: Annyce Davis
🔰 Level: Beginner
⏰ Duration: 3h 11m
📋 Topics: Programming
🔗 Join The Coding Space for more courses | 2 419 |
| 14 |  How to Learn Cloud Computing ?
Cloud computing is a vast field with an ever-growing footprint. It can often get tricky for a new developer to understand where to start. Here’s a learning map:
1 - Cloud Computing Basics
This includes topics such as “what is cloud computing,” its benefits, cloud models (public, private, hybrid, and multi), and a comparison of cloud vs. on-premise.
2 - Cloud Service Models
Learn about cloud service models such as IaaS, PaaS, and SaaS.
3 - Cloud Providers
Explore the various popular cloud platforms such as AWS, Azure, GCP, Oracle Cloud, IBM Cloud, etc. Also, learn how to choose a cloud provider.
4 - Key Cloud Services
Learn the key cloud services related to Compute (EC2, Azure VM, Docker, Kubernetes, Lambda, etc), Storage (EBS, Azure Disk, S3, Azure Blob, EFS, etc.), and Networking (VPC, ELB, Azure LB, Cloudfront, and Azure CDN).
5 - Security & Compliance
Learn about the critical security and compliance points related to identity, access management, encryption, data security, DDoS protection, and WAF.
6 - Cloud DevOps & Automation
Learn Cloud DevOps and automation in specific areas such as CI/CD, IaC, and Monitoring. | 2 991 |
| 15 |  🔰 The perfect way for beginner level In python In 50 Days | 3 990 |
| 16 | 📱The Coding Space
📱Vibe Coding Fundamentals: Tools and Best Practices | 4 683 |
| 17 |  🔅 Vibe Coding Fundamentals: Tools and Best Practices
📝 Learn how to build software by guiding AI agents instead of writing every line yourself.
🌐 Author: Ray Villalobos
🔰 Level: General
⏰ Duration: 37m
📋 Topics: Programming, AI Software Development, AI Productivity
🔗 Join The Coding Space for more courses | 4 269 |
| 18 |  +7Web Development Talks
You can use ChatGPT API, MidJourney API, Runway API and other AI based APIs and use them in your projects , you can make really cool coding projects with these APIs. | 5 282 |
| 19 |  💯 Use Kaggle like a pro with this method!
👨🏻💻 Never underestimate Kaggle! One of the best ways to start learning data science and ML is Kaggle. A place where theory turns into practice, beginners become professionals, and skills turn into value.
🎯 This roadmap is the key to practical use of this amazing platform:👇
⬅️ Step one: Strengthen your basic skills!
✏️ Start with Kaggle's short and free courses. Practical, focused, and suitable for beginners.
✅ Python ⬅️ Link
☑️ Introduction to Machine Learning ⬅️ Link
✔️ Introduction to Deep Learning ⬅️ Link
✔️ Introduction to SQL ⬅️ Link
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📝 Complete list of courses ⬅️Link
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⬅️ Step two: Apply what you’ve learned.
✏️ Learning alone is not enough; you have to solve problems! Kaggle competitions are the best place for this.
✅ Classification problem for beginners
☑️ Regression-based challenge
✔️ Fake news detection with NLP
✔️ Deep learning on image data with TPU
📝 Complete list of competitions ⬅️Link | 3 841 |
| 20 | 📱The Coding Space
📱Android Compose with Kotlin | 4 015 |
