DevGuide
Level up daily with insider dev hacks, smart career tips, and real talk! 🚀 ⚡️ Stay connected with me: linktr.ee/AliSamir
Show more📈 Analytical overview of Telegram channel DevGuide
Channel DevGuide (@the_developer_guide) is an active participant. Currently, the community unites 10 933 subscribers, ranking 11 238 in the Technologies & Applications category and 10 628 in the Iraq region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 10 933 subscribers.
According to the latest data from 02 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -20 over the last 30 days and by -2 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 8.96%. Within the first 24 hours after publication, content typically collects 2.78% reactions from the total number of subscribers.
- Post reach: On average, each post receives 980 views. Within the first day, a publication typically gains 304 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
- Thematic interests: Content is focused on key topics such as مَشرُوع, حَاجَة, بَيَان, جِدّ, طَلَب.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Level up daily with insider dev hacks, smart career tips, and real talk! 🚀
⚡️ Stay connected with me: linktr.ee/AliSamir”
Thanks to the high frequency of updates (latest data received on 03 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
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» Help OthersHelp by answering coding questions on our community forum.
» FeedbackGive feedback on coding projects built by campers.
» TranslationsHelp us translate freeCodeCamp org’s resources.
» Write CodeContribute with code to our open-source codebases. ——— GET STARTED: https://contribute.freecodecamp.org
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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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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