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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 52 118 subscribers, ranking 2 563 in the Technologies & Applications category and 7 263 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 52 118 subscribers.

According to the latest data from 05 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 194 over the last 30 days and by 11 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 1.93%. 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 1 005 views. Within the first day, a publication typically gains 437 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 06 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.

52 118
Subscribers
+1124 hours
+407 days
+19430 days
Posts Archive
๐—™๐—ฅ๐—˜๐—˜ ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€ ๐—ง๐—ผ ๐—–๐—ฟ๐—ฎ๐—ฐ๐—ธ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ก๐—ฒ๐˜…๐˜ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐Ÿ˜ Preparing for coding interviews? These fr
๐—™๐—ฅ๐—˜๐—˜ ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€ ๐—ง๐—ผ ๐—–๐—ฟ๐—ฎ๐—ฐ๐—ธ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ก๐—ฒ๐˜…๐˜ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐Ÿ˜ Preparing for coding interviews? These free resources will help you crack your dream job! ๐Ÿ“Œ Ace Your Next Interview with These FREE Resources!๐Ÿ‘จโ€๐Ÿ’ป ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/3FjrIVX All The Best ๐ŸŽŠ

SQL can be simpleโ€”if you learn it the smart way.. If youโ€™re aiming to become a data analyst, mastering SQL is non-negotiable. Hereโ€™s a smart roadmap to ace it: 1. Basics First: Understand data types, simple queries (SELECT, FROM, WHERE). Master basic filtering. 2. Joins & Relationships: Dive into INNER, LEFT, RIGHT joins. Practice combining tables to extract meaningful insights. 3. Aggregations & Functions: Get comfortable with COUNT, SUM, AVG, MAX, GROUP BY, and HAVING clauses. These are essential for summarizing data. 4. Subqueries & Nested Queries: Learn how to query within queries. This is powerful for handling complex datasets. 5. Window Functions: Explore ranking, cumulative sums, and sliding windows to work with running totals and moving averages. 6. Optimization: Study indexing and query optimization for faster, more efficient queries. 7. Real-World Scenarios: Apply your SQL knowledge to solve real-world business problems. The journey may seem tough, but each step sharpens your skills and brings you closer to data analysis excellence. Stay consistent, practice regularly, and let SQL become your superpower! ๐Ÿ’ช Here you can find essential SQL Interview Resources๐Ÿ‘‡ https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v Like this post if you need more ๐Ÿ‘โค๏ธ Hope it helps :)

๐—ง๐—ผ๐—ฝ ๐—–๐—ผ๐—บ๐—ฝ๐—ฎ๐—ป๐—ถ๐—ฒ๐˜€ ๐—Ÿ๐—ถ๐—ธ๐—ฒ ๐—œ๐—ป๐—ณ๐—ผ๐˜€๐˜†๐˜€ , ๐—š๐—ฒ๐—ป๐—ฝ๐—ฎ๐—ฐ๐˜ ,๐—Ÿ&๐—ง ,๐—ฃ๐—ต๐—ถ๐—น๐—ถ๐—ฝ๐˜€ & ๐—ข๐—ฟ๐—ฎ๐—ฐ๐—น๐—ฒ ๐—›๐—ถ๐—ฟ๐—ถ๐—ป๐—ด ๐Ÿ˜ Role
๐—ง๐—ผ๐—ฝ ๐—–๐—ผ๐—บ๐—ฝ๐—ฎ๐—ป๐—ถ๐—ฒ๐˜€ ๐—Ÿ๐—ถ๐—ธ๐—ฒ ๐—œ๐—ป๐—ณ๐—ผ๐˜€๐˜†๐˜€ , ๐—š๐—ฒ๐—ป๐—ฝ๐—ฎ๐—ฐ๐˜ ,๐—Ÿ&๐—ง ,๐—ฃ๐—ต๐—ถ๐—น๐—ถ๐—ฝ๐˜€ & ๐—ข๐—ฟ๐—ฎ๐—ฐ๐—น๐—ฒ ๐—›๐—ถ๐—ฟ๐—ถ๐—ป๐—ด ๐Ÿ˜ Roles Hiring:- Data Analyst, Software Engineer & Associate Job Location:- Across India/WFH  Qualification:- Graduate/Post Graduate  ๐—”๐—ฝ๐—ฝ๐—น๐˜† ๐—ก๐—ผ๐˜„๐Ÿ‘‡:- https://bit.ly/44qMX2k Select your experience & Complete The Registration Process  Select the company name & apply for the role that matches you

๐Ÿ’ก Must Have Tools for Programmers
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๐Ÿฒ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜๐—ผ ๐—ฆ๐˜๐—ฎ๐—ฟ๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ & ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—๐—ผ๐˜‚๐—ฟ๐—ป๐—ฒ๐˜†๐Ÿ˜ Want to bre
๐Ÿฒ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜๐—ผ ๐—ฆ๐˜๐—ฎ๐—ฟ๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ & ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—๐—ผ๐˜‚๐—ฟ๐—ป๐—ฒ๐˜†๐Ÿ˜ Want to break into Data Science & Analytics but donโ€™t want to spend on expensive courses?๐Ÿ‘จโ€๐Ÿ’ป Start here โ€” with 100% FREE courses from Cisco, IBM, Google & LinkedIn, all with certificates you can showcase on LinkedIn or your resume!๐Ÿ“š๐Ÿ“Œ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/3Ix2oxd This list will set you up with real-world, job-ready skillsโœ…๏ธ

Leetcode is a tool to learn Neetcode is a tool to learn CodeChef is a tool to learn Codeforces is a tool to learn HackerRank is a tool to learn GeeksForGeeks is a tool to learn It doesn't matter: - which platform you are using - or how many problems you solve All that matters is how strong you grasp concepts and adapt to problems. Don't chase the status of 500 or 1000 problems solved. Chase proper learning & training your mind for problem-solving. Best DSA RESOURCES: https://topmate.io/coding/886874 All the best ๐Ÿ‘๐Ÿ‘

Learning DSA wasnโ€™t just about acing interviews, --- it was about thinking better, building faster, and debugging smarter. ๐ŸŽฏ ๐—›๐—ฒ๐—ฟ๐—ฒ ๐—ฎ๐—ฟ๐—ฒ ๐˜๐—ต๐—ฒ ๐Ÿต ๐—ฐ๐—ผ๐—ฟ๐—ฒ ๐—ฝ๐—ฎ๐˜๐˜๐—ฒ๐—ฟ๐—ป๐˜€ ๐˜๐—ต๐—ฎ๐˜ ๐˜๐—ฟ๐—ฎ๐—ป๐˜€๐—ณ๐—ผ๐—ฟ๐—บ๐—ฒ๐—ฑ ๐—ต๐—ผ๐˜„ ๐—œ ๐˜€๐—ผ๐—น๐˜ƒ๐—ฒ ๐—ฝ๐—ฟ๐—ผ๐—ฏ๐—น๐—ฒ๐—บ๐˜€: โ€ข Sliding Windows โ€ข Two Pointers โ€ข Stack Based Patterns โ€ข Dynamic Programing โ€ข BFS/DFS (Trees & Graphs) โ€ข Merge Intervals โ€ข Backtracking & Subsets โ€ข top-k Elements (Heaps) โ€ข Greedy Techniques ๐Ÿ›ค๏ธ ๐— ๐˜† ๐—ฃ๐—ฎ๐˜๐—ต ๐˜๐—ผ ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด ๐——๐—ฆ๐—”: โ€ข Started with basic problems on arrays & strings โ€ข Solved 1-2 problems a day, consistently for 3 months โ€ข Focused more on patterns than individual questions โ€ข Made my own notes, revisited problems I struggled with โ€ข Used visual tools to understand recursion & DP โ€ข Practiced explaining my solutions out loud (like system design reviews) โ€ข Applied patterns in real-world projects (DevOps automation, log parsing, infra tools) ๐Ÿ’ก ๐—Ÿ๐—ผ๐—ผ๐—ธ๐—ถ๐—ป๐—ด ๐—ฏ๐—ฎ๐—ฐ๐—ธ, ๐—ผ๐—ป๐—ฒ ๐˜๐—ต๐—ถ๐—ป๐—ด ๐—ถ๐˜€ ๐—ฐ๐—น๐—ฒ๐—ฎ๐—ฟ: > It's not how many problems you solve, it's how well you can recognize the pattern hiding in each one. You can find more free resources on my WhatsApp channel: https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17

๐Ÿš€ THE 7-DAY PROFIT CHALLENGE! ๐Ÿš€ Can you turn $100 into $5,000 in just 7 days? Jay can. And sheโ€™s challenging YOU to do the
๐Ÿš€ THE 7-DAY PROFIT CHALLENGE! ๐Ÿš€ Can you turn $100 into $5,000 in just 7 days? Jay can. And sheโ€™s challenging YOU to do the same. ๐Ÿ‘‡ https://t.me/+mVE5EOYsAycxNTE1 https://t.me/+mVE5EOYsAycxNTE1 https://t.me/+mVE5EOYsAycxNTE1

Data Science Roadmap: ๐Ÿ—บ ๐Ÿ“‚ Math & Stats โ€ƒโˆŸ๐Ÿ“‚ Python/R โ€ƒโ€ƒโˆŸ๐Ÿ“‚ Data Wrangling โ€ƒโ€ƒโ€ƒโˆŸ๐Ÿ“‚ Visualization โ€ƒโ€ƒโ€ƒโ€ƒโˆŸ๐Ÿ“‚ ML โ€ƒโ€ƒโ€ƒโ€ƒโ€ƒโˆŸ๐Ÿ“‚ DL & NLP โ€ƒโ€ƒโ€ƒโ€ƒโ€ƒโ€ƒโˆŸ๐Ÿ“‚ Projects โ€ƒโ€ƒโ€ƒโ€ƒโ€ƒโ€ƒโ€ƒโˆŸ โœ… Apply For Job Like if you need detailed explanation step-by-step โค๏ธ

Roadmap to become Data Scientist
Roadmap to become Data Scientist

I was lost in crypto noise โ€” until I found a channel that shows where the real money is made๐Ÿ‘ No hype, just clear signals an
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SQL Interview Questions with Answers 1. How to change a table name in SQL? This is the command to change a table name in SQL: ALTER TABLE table_name RENAME TO new_table_name; We will start off by giving the keywords ALTER TABLE, then we will follow it up by giving the original name of the table, after that, we will give in the keywords RENAME TO and finally, we will give the new table name. 2. How to use LIKE in SQL? The LIKE operator checks if an attribute value matches a given string pattern. Here is an example of LIKE operator SELECT * FROM employees WHERE first_name like โ€˜Stevenโ€™; With this command, we will be able to extract all the records where the first name is like โ€œStevenโ€. 3. If we drop a table, does it also drop related objects like constraints, indexes, columns, default, views and sorted procedures? Yes, SQL server drops all related objects, which exists inside a table like constraints, indexes, columns, defaults etc. But dropping a table will not drop views and sorted procedures as they exist outside the table. 4. Explain SQL Constraints. SQL Constraints are used to specify the rules of data type in a table. They can be specified while creating and altering the table. The following are the constraints in SQL: NOT NULL CHECK DEFAULT UNIQUE PRIMARY KEY FOREIGN KEY React โค๏ธ for more

๐Ÿฑ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐— ๐—œ๐—ง ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ฌ๐—ผ๐˜‚ ๐—–๐—ฎ๐—ป ๐—ง๐—ฎ๐—ธ๐—ฒ ๐—ข๐—ป๐—น๐—ถ๐—ป๐—ฒ โ€” ๐—ก๐—ผ ๐—Ÿ๐—ผ๐—ด๐—ถ๐—ป, ๐—ก๐—ผ ๐—™๐—ฒ๐—ฒ๐˜€!๐Ÿ˜ Dream of learning f
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๐Ÿ“Œ Python Cheatsheet: Master the Foundations & Beyond Start learning Python โ†’ โฌ‡๏ธ Core Python Building Blocks Basic Commands โ†’ print() โ€“ Display output โ†’ input() โ€“ Get user input โ†’ len() โ€“ Get length of a data structure โ†’ type() โ€“ Get variable type โ†’ range() โ€“ Generate a sequence โ†’ help() โ€“ Get documentation Data Types โ†’ int, float, bool, str โ€“ Numbers & text โ†’ list, tuple, dict, set โ€“ Data collections Control Structures โ†’ if / elif / else โ€“ Conditional logic โ†’ for, while โ€“ Loops โ†’ break, continue, pass โ€“ Loop control โฌ‡๏ธ Advanced Concepts Functions & Classes โ†’ def, return, lambda โ€“ Define functions โ†’ class, init, self โ€“ Object-oriented programming Modules โ†’ import, from ... import โ€“ Reuse code โฌ‡๏ธ Special Tools Exception Handling โ†’ try, except, finally, raise โ€“ Handle errors File Handling โ†’ open(), read(), write(), close() โ€“ Manage files Decorators & Generators โ†’ @decorator, yield โ€“ Extend or pause functions List Comprehension โ†’ [x for x in list if condition] โ€“ Create lists efficiently Like for more โค๏ธ

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โŒจ๏ธ Hide secret message in image using Python
โŒจ๏ธ Hide secret message in image using Python

๐Ÿ“Œ Python Cheatsheet: Master the Foundations & Beyond Start learning Python โ†’ โฌ‡๏ธ Core Python Building Blocks Basic Commands โ†’ print() โ€“ Display output โ†’ input() โ€“ Get user input โ†’ len() โ€“ Get length of a data structure โ†’ type() โ€“ Get variable type โ†’ range() โ€“ Generate a sequence โ†’ help() โ€“ Get documentation Data Types โ†’ int, float, bool, str โ€“ Numbers & text โ†’ list, tuple, dict, set โ€“ Data collections Control Structures โ†’ if / elif / else โ€“ Conditional logic โ†’ for, while โ€“ Loops โ†’ break, continue, pass โ€“ Loop control โฌ‡๏ธ Advanced Concepts Functions & Classes โ†’ def, return, lambda โ€“ Define functions โ†’ class, init, self โ€“ Object-oriented programming Modules โ†’ import, from ... import โ€“ Reuse code โฌ‡๏ธ Special Tools Exception Handling โ†’ try, except, finally, raise โ€“ Handle errors File Handling โ†’ open(), read(), write(), close() โ€“ Manage files Decorators & Generators โ†’ @decorator, yield โ€“ Extend or pause functions List Comprehension โ†’ [x for x in list if condition] โ€“ Create lists efficiently Like for more โค๏ธ

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What is Docker ? 1 โ€ข Development Lets say You created an Application And that's working fine in your machine 2 โ€ข Production But in Production it doesn't work properly Developers experince it a lot 3 โ€ข That is when the Developer's famous words are spoken Client - Your application is not working ๐Ÿ˜ก Developer - It's working on my Machine ๐Ÿ˜’ 4 โ€ข The Reason could be due to: โ€ข Dependencies โ€ข Libraries and versions โ€ข Framework โ€ข OS Level features โ€ข Microservices That the developers machine has but not there in the production environment 5 โ€ข DOCKER We need a standardized way to package the application with its dependencies and deploy it on any environment. Docker is a tool designed to make it easier to create, deploy, and run applications by using containers. So it will always work the same regardless of its environment 6 โ€ข How Does Docker Work? Docker packages an application and all its dependencies in a virtual container that can run on any Linux server. 7 โ€ข Each container runs as an isolated process in the user space and take up less space than regular VMs due to their layered architecture.