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Coding Interview Resources

Coding Interview Resources

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This channel contains the free resources and solution of coding problems which are usually asked in the interviews. Managed by: @love_data

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๐Ÿ“ˆ Analytical overview of Telegram channel Coding Interview Resources

Channel Coding Interview Resources (@crackingthecodinginterview) in the English language segment is an active participant. Currently, the community unites 52 127 subscribers, ranking 2 566 in the Technologies & Applications category and 7 235 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 52 127 subscribers.

According to the latest data from 09 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 156 over the last 30 days and by 8 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.14%. Within the first 24 hours after publication, content typically collects 0.84% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 116 views. Within the first day, a publication typically gains 436 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
  • Thematic interests: Content is focused on key topics such as array, stack, algorithm, programming, sort.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œThis channel contains the free resources and solution of coding problems which are usually asked in the interviews. Managed by: @love_dataโ€

Thanks to the high frequency of updates (latest data received on 10 June, 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.

52 127
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Posts Archive
69 Functions in Python โœ…
+1
69 Functions in Python โœ…

๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐Ÿ˜ - SQL - Blockchain - HTML & CSS - Excel, and - Generative AI These free
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Python Iterators โ˜๏ธ
Python Iterators โ˜๏ธ

Control Flow in Python ๐Ÿ‘†
Control Flow in Python ๐Ÿ‘†

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List of most asked Programming Interview Questions. Are you preparing for a coding interview? This tweet is for you. It contains a list of the most asked interview questions from each topic. Arrays - How is an array sorted using quicksort? - How do you reverse an array? - How do you remove duplicates from an array? - How do you find the 2nd largest number in an unsorted integer array? Linked Lists - How do you find the length of a linked list? - How do you reverse a linked list? - How do you find the third node from the end? - How are duplicate nodes removed in an unsorted linked list? Strings - How do you check if a string contains only digits? - How can a given string be reversed? - How do you find the first non-repeated character? - How do you find duplicate characters in strings? Binary Trees - How are all leaves of a binary tree printed? - How do you check if a tree is a binary search tree? - How is a binary search tree implemented? - Find the lowest common ancestor in a binary tree? Graph - How to detect a cycle in a directed graph? - How to detect a cycle in an undirected graph? - Find the total number of strongly connected components? - Find whether a path exists between two nodes of a graph? - Find the minimum number of swaps required to sort an array. Dynamic Programming 1. Find the longest common subsequence? 2. Find the longest common substring? 3. Coin change problem? 4. Box stacking problem? 5. Count the number of ways to cover a distance?

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High Demanding Skills in 2025 ๐Ÿ‘†
High Demanding Skills in 2025 ๐Ÿ‘†

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Why Algorithm is Important for a Program An efficient algorithm determines how fast and effectively a program can solve a problem. While modern hardware provides abundant memory, execution time remains a critical factor. Faster algorithms save time, enhance user experience, and enable scalability, especially for large datasets or real-time applications. A poor algorithm can lead to inefficiencies that no amount of hardware can fix. Why Space is Less Important With advancements in technology, storage has become cheaper and more abundant. For most applications, the cost of additional memory is negligible compared to the time lost due to an inefficient algorithm. However, in constrained environments (like embedded systems), space considerations may still matter.

Passive Income Ideas for Developers ๐Ÿ‘‡๐Ÿ‘‡ https://t.me/Learn_Startup/413

Important DSA concepts: โ€ข Arrays โ€ข Strings โ€ข Sorting & Searching โ€ข Hashing โ€ข Linked List โ€ข Stack & Queue โ€ข Recursion & Backtracking โ€ข Binary Tree & BST โ€ข Heap & Priority Queue โ€ข Graph Theory โ€ข Dynamic Programming (DP) โ€ข Greedy Algorithms โ€ข Bit Manipulation โ€ข Math & Number Theory โ€ข Trie & Advanced Data Structures

Object Oriented Programming โœ…
+6
Object Oriented Programming โœ…

Python Data Types Cheat Sheet
Python Data Types Cheat Sheet

๐——๐—ฒ๐—น๐—ผ๐—ถ๐˜๐˜๐—ฒ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ป๐˜€๐—ต๐—ถ๐—ฝ - ๐—๐—ผ๐—ถ๐—ป ๐—ก๐—ผ๐˜„๐Ÿ˜ Want to work on real projects from a top company? ๐Ÿšจ
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Object Oriented Programming with Python
+6
Object Oriented Programming with Python

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