This site is EXTREMELY popular in India, and used a lot by students AND interviewers (I know many who simply ask questions from the front page of G4G on a given day). It's the inverted tree equivalent in India.
I'm someone who was actually interviewed by GeeksForGeeks because a junior from college connected them to me (They do interviews with people who have gotten placed in * dream * companies... not my terminology).
In the interview, which was done over email, I actually mentioned that resources like G4G are bad resources for studying because they over-simplify algorithms and reduce them to silly proportions, and also encourage rote learning. To my surprise, they directly published the same ON THEIR SITE. Speaks volumes of their editorial team (?).
This article too has little basis in reality, but more of one guy's list.
I strongly suggest you use much better resources for learning algortihms, rather than this site, which is (by and large) the W3Schools of algorithms/data structures.
I concur in India. I have 10+ years experience with a lot of work in embedded and I had this interviewer who when interviewing opened this page in his laptop and started asking questions from there.
Many of my colleague just learn the algorithm implementation by rote because in India it is very rare for companies to dig into algorithms or talk about its applications and optimizations.
I'm someone who was actually interviewed by GeeksForGeeks because a junior from college connected them to me (They do interviews with people who have gotten placed in * dream * companies... not my terminology).
In the interview, which was done over email, I actually mentioned that resources like G4G are bad resources for studying because they over-simplify algorithms and reduce them to silly proportions, and also encourage rote learning. To my surprise, they directly published the same ON THEIR SITE. Speaks volumes of their editorial team (?). This article too has little basis in reality, but more of one guy's list.
I strongly suggest you use much better resources for learning algortihms, rather than this site, which is (by and large) the W3Schools of algorithms/data structures.