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不要被骗子欺骗!Telemetrio 会找到并标记这些频道 👉 如果想查看标记,请订阅

Coding & AI Resources

Coding & AI Resources

前往频道在 Telegram

📚Get daily updates for : ✅ Free resources ✅ All Free notes ✅ Internship,Jobs and a lot more....😍 📍Join & Share this channel with your friends and college mates ❤️ Managed by: @love_data Buy ads: https://telega.io/c/leadcoding

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📈 Telegram 频道 Coding & AI Resources 的分析概览

频道 Coding & AI Resources (@leadcoding) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 35 264 名订阅者,在 教育 类别中位列第 5 393,并在 印度 地区排名第 10 892 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 35 264 名订阅者。

根据 31 十月, 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 -134,过去 24 小时变化为 -4,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 2.41%。内容发布后 24 小时内通常能获得 0.75% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 850 次浏览,首日通常累积 266 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 3。
  • 主题关注点: 内容集中在 learning, link:-, element, programming, analytic 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:
“📚Get daily updates for : ✅ Free resources ✅ All Free notes ✅ Internship,Jobs and a lot more....😍 📍Join & Share this channel with your friends and college mates ❤️ Managed by: @love_data Buy ads: https://telega.io/c/leadcoding”

凭借高频更新(最新数据采集于 01 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 教育 类别中的关键影响点。

35 264
订阅者
-424 小时
-387 天
-13430 天
帖子存档
Free Resources To Crack Coding Interviews 👇👇 Coding Interview Prep FREE CERTIFIED COURSE https://www.freecodecamp.org/learn/coding-interview-prep/#take-home-projects Python Interview Questions and Answers https://t.me/dsabooks/75 Beginner's guide for DSA https://www.geeksforgeeks.org/the-ultimate-beginners-guide-for-dsa/amp/ Cracking the coding interview FREE BOOK https://www.pdfdrive.com/cracking-the-coding-interview-189-programming-questions-and-solutions-d175292720.html DSA Interview Questions and Answers https://t.me/crackingthecodinginterview/77 Cracking the Coding interview: Learn 5 Essential Patterns [4.5 star ratings out of 5] https://bit.ly/3GUBk56 Data Science Interview Questions and Answers https://t.me/datasciencefun/958 Java Interview Questions with Answers https://t.me/Curiousprogrammer/106 ENJOY LEARNING 👍👍

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API Reference.pdf12.58 MB

30-day roadmap to learn Python up to an intermediate level Week 1: Python Basics *Day 1-2:* - Learn about Python, its syntax, and how to install Python on your computer. - Write your first "Hello, World!" program. - Understand variables and data types (integers, floats, strings). *Day 3-4:* - Explore basic operations (arithmetic, string concatenation). - Learn about user input and how to use the input() function. - Practice creating and using variables. *Day 5-7:* - Dive into control flow with if statements, else statements, and loops (for and while). - Work on simple programs that involve conditions and loops. Week 2: Functions and Modules *Day 8-9:* - Study functions and how to define your own functions using def. - Learn about function arguments and return values. *Day 10-12:* - Explore built-in functions and libraries (e.g., len(), random, math). - Understand how to import modules and use their functions. *Day 13-14:* - Practice writing functions for common tasks. - Create a small project that utilizes functions and modules. Week 3: Data Structures *Day 15-17:* - Learn about lists and their operations (slicing, appending, removing). - Understand how to work with lists of different data types. *Day 18-19:* - Study dictionaries and their key-value pairs. - Practice manipulating dictionary data. *Day 20-21:* - Explore tuples and sets. - Understand when and how to use each data structure. Week 4: Intermediate Topics *Day 22-23:* - Study file handling and how to read/write files in Python. - Work on projects involving file operations. *Day 24-26:* - Learn about exceptions and error handling. - Explore object-oriented programming (classes and objects). *Day 27-28:* - Dive into more advanced topics like list comprehensions and generators. - Study Python's built-in libraries for web development (e.g., requests). *Day 29-30:* - Explore additional libraries and frameworks relevant to your interests (e.g., NumPy for data analysis, Flask for web development, or Pygame for game development). - Work on a more complex project that combines your knowledge from the past weeks. Throughout the 30 days, practice coding daily, and don't hesitate to explore Python's documentation and online resources for additional help. Learning Python is a dynamic process, so adapt the roadmap based on your progress and interests. Good luck with your Python journey!

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🖥 Top Programming Languages to learn in 2024 - [Part 1] 🖥 1. JavaScript - learnjavascript.online - t.me/javascript_courses/4 - learn-js.org 2. Java - learnjavaonline.org - javatpoint.com 3. C# - learncs.org - w3schools.com 4. TypeScript - Typescriptlang.org - learntypescript.dev 5. Rust - rust-lang.org - t.me/Curiousprogrammer/376 - exercism.org

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