I'd Graduated from CS at 2014, but I feel too rush learn algorithm & data structure in 4 years, it's always focus on result (even use bad algorithm, and it means to be tech debt🤦), today my role are middle frontend engineer, almost every vacancy in my level use DSA test and I must struggle with it 🙂 (if I can back time, I will focus on my college only not other thing 😂)
Many years ago, I heard from a Google engineer that 'O(n^2) rules the world'. The fact is that, in many cases, non-optimal algorithms are good enough just because the problems are small in size.
But you don't need to go back to college to learn. You can use many free resources (including online lectures on Computer Science from MIT) to brush up.
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I'd Graduated from CS at 2014, but I feel too rush learn algorithm & data structure in 4 years, it's always focus on result (even use bad algorithm, and it means to be tech debt🤦), today my role are middle frontend engineer, almost every vacancy in my level use DSA test and I must struggle with it 🙂 (if I can back time, I will focus on my college only not other thing 😂)
Many years ago, I heard from a Google engineer that 'O(n^2) rules the world'. The fact is that, in many cases, non-optimal algorithms are good enough just because the problems are small in size.
But you don't need to go back to college to learn. You can use many free resources (including online lectures on Computer Science from MIT) to brush up.