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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

DevGuide

DevGuide

前往频道在 Telegram

Level up daily with insider dev hacks, smart career tips, and real talk! 🚀 ⚡️ Stay connected with me: linktr.ee/AliSamir

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📈 Telegram 频道 DevGuide 的分析概览

频道 DevGuide (@the_developer_guide) 是活跃参与者。目前社区聚集了 10 933 名订阅者,在 技术与应用 类别中位列第 11 238,并在 伊拉克 地区排名第 10 628 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 10 933 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 -20,过去 24 小时变化为 -2,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 8.96%。内容发布后 24 小时内通常能获得 2.78% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 980 次浏览,首日通常累积 304 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 مَشرُوع, حَاجَة, بَيَان, جِدّ, طَلَب 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:
“Level up daily with insider dev hacks, smart career tips, and real talk! 🚀 ⚡️ Stay connected with me: linktr.ee/AliSamir”

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。

10 933
订阅者
-224 小时
-37 天
-2030 天
帖子存档
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سمعت عن الـ Storybook؟ 🤔 . . لو شغال في مجال الفرونت اند أو حتى مهتم بالـ UI، أكيد سمعت عن حاجة اسمها Storybook. خلينا ندردش
سمعت عن الـ Storybook؟ 🤔 . . لو شغال في مجال الفرونت اند أو حتى مهتم بالـ UI، أكيد سمعت عن حاجة اسمها Storybook. خلينا ندردش شوية عن الـ Storybook وليه ممكن تحتاجها في المشروع بتاعك... ——— 📌 LinkedIn Post: https://www.linkedin.com/posts/dev-guide_frontenddeveloper-frontenddevelopment-webdeveloper-activity-7251281171890769920-Uyrq 📌 Facebook Post: https://www.facebook.com/share/p/guWxwvDs4mDiFW9t

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SaaS Best Practices - 2024 » Most Recommended » AI » Startups Credits » Full Stack » Backend » Architecture & DevOps » Site g
SaaS Best Practices - 2024
» Most Recommended » AI » Startups Credits » Full Stack » Backend » Architecture & DevOps » Site generator » Node ToolChain » CSS » Cloud Native » SaaS Service » Site Navigation https://practices.best

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مقدمة لذيذة عن إطار العمل Express.js 💯 Express.js Essentials: A Comprehensive Guide of Express.js 🔻 https://subhjourney.has
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من ضمن الخصائص الجديدة في CSS واللي هتسهل عليك التعامل مع الـ Responsive Design 🔻 An Interactive Guide to CSS Container Quer
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Contribute to the freeCodeCamp Community Get Involved 🔻
» Help Others
Help by answering coding questions on our community forum.
» Feedback
Give feedback on coding projects built by campers.
» Translations
Help us translate freeCodeCamp org’s resources.
» Write Code
Contribute with code to our open-source codebases. ——— GET STARTED: https://contribute.freecodecamp.org

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تركاية فرونت اند رايقة...🔥 Scrolly Video JS Library 🔻 ——— https://www.linkedin.com/posts/dev-alisamir_javascript-frontendab
تركاية فرونت اند رايقة...🔥 Scrolly Video JS Library 🔻 ——— https://www.linkedin.com/posts/dev-alisamir_javascript-frontendabrtips-frontenddeveloper-activity-7251123124480446464-N_lJ

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API vs SDK 🔻 API (Application Programming Interface) and SDK (Software Development Kit) are essential tools in the software development world, but they serve distinct purposes: ———
API:
An API is a set of rules and protocols that allows different software applications and services to communicate with each other. » It defines how software components should interact. » Facilitates data exchange and functionality access between software components. » Typically consists of endpoints, requests, and responses. ———
SDK:
An SDK is a comprehensive package of tools, libraries, sample code, and documentation that assists developers in building applications for a particular platform, framework, or hardware. » Offers higher-level abstractions, simplifying development for a specific platform. » Tailored to specific platforms or frameworks, ensuring compatibility and optimal performance on that platform. » Offer access to advanced features and capabilities specific to the platform, which might be otherwise challenging to implement from scratch. ——— The choice between APIs and SDKs depends on the development goals and requirements of the project.

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System Design and Architecture
https://app.manara.tech/learning/8
Frontend Engineering with React
https://app.manara.tech/learning/10
Databases
https://app.manara.tech/learning/15
Data Engineering
https://app.manara.tech/learning/18
DevOps
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Backend Engineering with NodeJS
https://app.manara.tech/learning/21
AWS 1: Intro to Cloud Computing
https://app.manara.tech/learning/6

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How do we design effective and safe APIs?
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كورس الذكاء الاصطناعي الشامل لمبادرة رواد مصر 🔻 Advanced Machine Learning 2024 Course + Microsoft Azure AI Fundamentals | Ar
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Advanced Machine Learning 2024 Course + Microsoft Azure AI Fundamentals | Arabic
https://youtube.com/playlist?list=PLPBnj6azlABapMXzdpFXBScfZerZygcrz&si=ojtFJ_zTaJVTrwXZ

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مكتبة جافا سكريبت رايقة هتظبطلك الـ Scrolling...⚡️ Lenis JS Library 🔻 https://www.linkedin.com/posts/dev-alisamir_javascript
مكتبة جافا سكريبت رايقة هتظبطلك الـ Scrolling...⚡️
Lenis JS Library 🔻
https://www.linkedin.com/posts/dev-alisamir_javascript-js-animations-activity-7250760742205853696-ef_x

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DATABASE IN SQL ⚡️
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DATABASE IN SQL ⚡️

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مسارات تعلم شاملة في مجالات البرمجة - 2024 🔻 المسارات دي هتساعدك تخطط رحلة التعلم خلال الـ 12 شهر الجايين (أو أكتر في مجال ا
مسارات تعلم شاملة في مجالات البرمجة - 2024 🔻 المسارات دي هتساعدك تخطط رحلة التعلم خلال الـ 12 شهر الجايين (أو أكتر في مجال الويب)، وده من غير ما تضيع وقتك في البحث عن إيه اللي المفروض تتعلمه في كل مجال. ✅ ——— https://www.linkedin.com/posts/dev-alisamir_softwaredeveloper-softwaredevelopment-roadmap-activity-7250153662952456192-IM-C

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Big O Notation: The Secret to Writing Efficient Algorithms 🔻 From simple array operations to complex sorting algorithms, understanding the Big O Notation is critical for building high-performance software solutions.
O(1)
This is the constant time notation. The runtime remains steady regardless of input size. For example, accessing an element in an array by index and inserting/deleting an element in a hash table.
O(n)
Linear time notation. The runtime grows in direct proportion to the input size. For example, finding the max or min element in an unsorted array.
O(log n)
Logarithmic time notation. The runtime increases slowly as the input grows. For example, a binary search on a sorted array and operations on balanced binary search trees.
O(n^2)
Quadratic time notation. The runtime grows exponentially with input size. For example, simple sorting algorithms like bubble sort, insertion sort, and selection sort.
O(n^3)
Cubic time notation. The runtime escalates rapidly as the input size increases. For example, multiplying two dense matrices using the naive algorithm.
O(n logn)
Linearithmic time notation. This is a blend of linear and logarithmic growth. For example, efficient sorting algorithms like merge sort, quick sort, and heap sort
O(2^n)
Exponential time notation. The runtime doubles with each new input element. For example, recursive algorithms solve problems by dividing them into multiple subproblems.
O(n!)
Factorial time notation. Runtime skyrockets with input size. For example, permutation-generation problems.
O(sqrt(n))
Square root time notation. Runtime increases relative to the input’s square root. For example, searching within a range such as the Sieve of Eratosthenes for finding all primes up to n.

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Access 24,000+ animated icons https://lordicon.com

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Career Guru99 helps you get your Dream Job https://career.guru99.com

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مجموعة مشاريع مفتوحة المصدر مبنية باستخدام إطار العمل Laravel تقدر تساهم فيها وتضيفها الـ CV 🔻
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https://laraveldaily.com/post/large-laravel-open-source-projects