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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
Show moreπ 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 52 168 subscribers, ranking 2 573 in the Technologies & Applications category and 7 189 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 52 168 subscribers.
According to the latest data from 13 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 174 over the last 30 days and by 29 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.17%. Within the first 24 hours after publication, content typically collects 0.87% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 130 views. Within the first day, a publication typically gains 452 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.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βThis channel contains the free resources and solution of coding problems which are usually asked in the interviews.
Managed by: @love_dataβ
Thanks to the high frequency of updates (latest data received on 14 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.
52 168
Subscribers
+2924 hours
+507 days
+17430 days
Posts Archive
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PREPARING FOR AN ONLINE INTERVIEW?
10 basic tips to consider when invited/preparing for an online interview:
1. Get to know the online technology that the interviewer(s) will use. Is it a phone call, WhatsApp, Skype or Zoom interview? If not clear, ask.
2. Familiarize yourself with the online tools that youβll be using. Understand how Zoom/Skype works and test it well in advance. Test the sound and video quality.
3. Ensure that your internet connection is stable. If using mobile data, make sure itβs adequate to sustain the call to the end.
4. Ensure the lighting and the background is good. Remove background clutter. Isolate yourself in a place where youβll not have any noise distractions.
5. For Zoom/Skype calls, use your desktop or laptop instead of your phone. Theyβre more stable especially for video calls.
6. Mute all notifications on your computer/phone to avoid unnecessary distractions.
7. Ensure that your posture is right. Just because itβs a remote interview does not mean you slouch on your couch. Maintain an upright posture.
8. Prepare on the other job specifics just like you would for a face-to-face interview
9. Dress up like you would for a face-to-face interview.
10. Be all set at least 10 minutes to the start of interview.
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Course Link: https://bit.ly/3LzBTEvProblem: Given n points on a 2D plane, find the maximum number of points that lie on the same straight line.
Solution: Every pair of points on a plane define a line that passes through them. One approach is to iterate over each pair of points, find a line that passes through them and check how many of the other points lie on this line. This solution will be O(n^3). We can do better if we reformulate our approach a little bit. Let's say we found lines that pass through every pair of points. Some of them might be the same. E.g. if there is a line that passes through 3 points a,b,c, than lines that pass through a-b, b-c and a-c will coincide. So, we can count how many lines coincide and calculate the number of points that this line pass through. To find lines, that coincide, we can put them in hash map. The only problem is numeric instability, i.e. when dealing with floating point numbers it's likely we won't get lines, whose coefficients match exactly. One way to solve it is to use buckets of size \epsilon. Then we need to iterate over lines that are inside a bucket and check how many of them are actually the same.
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