Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
前往频道在 Telegram
Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data
显示更多📈 Telegram 频道 Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books 的分析概览
频道 Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 55 799 名订阅者,在 技术与应用 类别中位列第 2 359,并在 印度 地区排名第 6 036 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 55 799 名订阅者。
根据 02 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 -189,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 2.10%。内容发布后 24 小时内通常能获得 0.57% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 1 171 次浏览,首日通常累积 316 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 2。
- 主题关注点: 内容集中在 algorithm, structure, stack, javascript, programming 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:
“Everything about programming for beginners
* Python programming
* Java programming
* App development
* Machine Learning
* Data Science
Managed by: @love_data”
凭借高频更新(最新数据采集于 03 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。
55 799
订阅者
+1524 小时
-127 天
-18930 天
帖子存档
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Here are 10 popular programming languages based on versatile, widely-used, and in-demand languages:1. Python – Ideal for beginners and professionals; used in web development, data analysis, AI, and more. 2. Java – A classic language for building enterprise applications, Android apps, and large-scale systems. 3. C – The foundation for many other languages; great for understanding low-level programming concepts. 4. C++ – Popular for game development, competitive programming, and performance-critical applications. 5. C# – Widely used for Windows applications, game development (Unity), and enterprise software. 6. Go (Golang) – A modern language designed for performance and scalability, popular in cloud services. 7. Rust – Known for its safety and performance, ideal for system-level programming. 8. Kotlin – The preferred language for Android development with modern features. 9. Swift – Used for developing iOS and macOS applications with simplicity and power. 10. PHP – A staple for web development, powering many websites and applications.
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Java + Jenkins = Continuous Integration
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Age of Programming Languages👨🏻💻
🦅 Swift (10 years old) (2014)
🔷 TypeScript (11 years old) (2012)
🚀 Kotlin (12 years old) (2011)
🎯 Dart (13 years old (2011)
🦀 Rust (13 years old) (2010)
🐹 Go (14 years old) (2009)
🎸 C# (23 years old) (2000)
💎 Ruby (28 years old) (1995)
☕ Java (28 years old) (1995)
🌐 JavaScript (28 years old) (1995)
🐘 PHP (29 years old) (1994)
🐍 Python (33 years old) (1991)
🐪 Perl (36 years old) (1987)
🚀 C++ (38 years old) (1985)
📱 Objective-C (39 years old) (1984)
🔍 Prolog (51 years old) (1972)
🗣️ Smalltalk (51 years old) (1972)
🖥️ C (51 years old) (1972)
📝 Pascal (53 years old) (1970)
🎓 BASIC (59 years old) (1964)
💼 COBOL (64 years old) (1959)
🤖 Lisp (65 years old) (1958)
📜 Fortran (66 years old) (1957)
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Essential Tools & Programming Languages for Software Developers
👉 Integrated Development Environments (IDEs):
- Visual Studio Code: A lightweight but powerful source code editor that supports various programming languages and extensions.
- IntelliJ IDEA: A popular IDE for Java development, also supporting other languages through plugins.
- Eclipse: Another widely used IDE for Java, with extensive plugin support for other languages.
👉 Version Control Systems:
- Git: A distributed version control system that allows developers to track changes in their codebase, collaborate with others, and manage project history. GitHub, GitLab, and Bitbucket are popular platforms that use Git.
👉 Programming Languages:
- JavaScript: Essential for web development, with frameworks like React, Angular, and Vue.js for front-end development and Node.js for server-side programming.
- Python: Known for its simplicity and versatility, used in web development (Django, Flask), data science (NumPy, Pandas), and automation.
- Java: Widely used for building enterprise-scale applications, Android app development, and backend systems.
- C#: A language developed by Microsoft, primarily used for building Windows applications and games using the Unity engine.
- C++: Known for its performance, used in system/software development, game development, and applications requiring real-time processing.
- Ruby: Known for its simplicity and productivity, often used in web development with the Ruby on Rails framework.
👉 Web Development Frameworks:
- React: A JavaScript library for building user interfaces, particularly single-page applications.
- Angular: A TypeScript-based framework for building dynamic web applications.
- Django: A high-level Python web framework that encourages rapid development and clean, pragmatic design.
- Spring: A comprehensive framework for Java that provides infrastructure support for developing Java applications.
👉 Database Management Systems:
- MySQL: An open-source relational database management system.
- PostgreSQL: An open-source object-relational database system with a strong emphasis on extensibility and standards compliance.
- MongoDB: A NoSQL database that uses a flexible, JSON-like format for storing data.
👉 Containerization and Orchestration:
- Docker: A platform that allows developers to package applications into containers, ensuring consistency across multiple environments.
- Kubernetes: An open-source system for automating deployment, scaling, and management of containerized applications.
👉 Cloud Platforms:
- Amazon Web Services (AWS): A comprehensive cloud platform offering a wide range of services, including computing power, storage, and databases.
- Microsoft Azure: A cloud computing service created by Microsoft for building, testing, deploying, and managing applications.
- Google Cloud Platform (GCP): A suite of cloud computing services provided by Google.
👉 CI/CD Tools:
- Jenkins: An open-source automation server that helps automate the parts of software development related to building, testing, and deploying.
- Travis CI: A continuous integration service used to build and test software projects hosted on GitHub.
👉 Project Management and Collaboration:
- Jira: A tool developed by Atlassian for bug tracking, issue tracking, and project management.
- Trello: A visual tool for organizing tasks and projects into boards.
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15 steps to master Python Programming
Software Engineer: C++ C# Java, Python, JavaScript
Web Dev: HTML, CSS, JavaScript, NodeJS
Game Dev: Unity, Unreal, Java
App Dev: Flutter, Objective C, Java, Swift, Kotlin, React
Cyber Security: Python, Linux, Networking
AI & Data Science - Julia, Haskell
Useful Cheatsheets for Programmers
👇👇
Data Science Cheatsheet
https://github.com/aaronwangy/Data-Science-Cheatsheet
SQL Cheatsheet
https://learnsql.com/blog/sql-basics-cheat-sheet/
https://t.me/programming_guide/299
https://www.sqltutorial.org/wp-content/uploads/2016/04/SQL-cheat-sheet.pdf
https://t.me/learndataanalysis/442?single
Java Programming Cheatsheet
https://introcs.cs.princeton.edu/java/11cheatsheet/
PHP and Ruby Cheatsheets
https://t.me/programming_guide/300
https://t.me/programming_guide/301
Pandas in 5 minutes
https://bit.ly/3EZgNgF
Python Cheat sheet
https://t.me/pythondevelopersindia/314
UML Cheat sheet
https://www.guru99.com/uml-cheatsheet-reference-guide.html.
GIT and Machine Learning Cheatsheet
https://t.me/datasciencefun/714?single
Javascript Cheat sheet
https://t.me/programming_guide/623
HTML Cheatsheet
https://web.stanford.edu/group/csp/cs21/htmlcheatsheet.pdf
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Useful Cheatsheets for Programmers
👇👇
Data Science Cheatsheet
https://github.com/aaronwangy/Data-Science-Cheatsheet
SQL Cheatsheet
https://learnsql.com/blog/sql-basics-cheat-sheet/
https://t.me/programming_guide/299
https://www.sqltutorial.org/wp-content/uploads/2016/04/SQL-cheat-sheet.pdf
https://t.me/learndataanalysis/442?single
Java Programming Cheatsheet
https://introcs.cs.princeton.edu/java/11cheatsheet/
PHP and Ruby Cheatsheets
https://t.me/programming_guide/300
https://t.me/programming_guide/301
Pandas in 5 minutes
https://bit.ly/3EZgNgF
Python Cheat sheet
https://t.me/pythondevelopersindia/314
UML Cheat sheet
https://www.guru99.com/uml-cheatsheet-reference-guide.html.
GIT and Machine Learning Cheatsheet
https://t.me/datasciencefun/714?single
Javascript Cheat sheet
https://t.me/programming_guide/623
HTML Cheatsheet
https://web.stanford.edu/group/csp/cs21/htmlcheatsheet.pdf
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