Coding Interview Resources

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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 you’ll 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 it’s 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 you’ll not have any noise distractions. 5. For Zoom/Skype calls, use your desktop or laptop instead of your phone. They’re 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 it’s 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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Problem: 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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