How do you ensure that your data structures and algorithm skills remain sharp as a software engineer?

What is a good article/paper to understand quadratic sieve and number field sieve thoroughly?

Where should I start learning algorithm from? Should I join one of the MOOCs available or go through books like “Introduction to Algorithms”?

Does anyone exactly know the formula of the Net 5 algorithm in convolutional neural networks?

Which algorithm is used by Arrays.sort?

Why can’t a binary indexed tree start with the index 0?

How can I write a recursive function using Python that takes a string as input and prints out each character on a separate line?

What does mean in Java in context of making Binary Search Trees?

What are some advanced JavaScript books and book for data structures and algorithms in Js?

How do I figure out, if every node is reachable from every other node without turning left in a graph?

In Python, is an array of a class more or less efficient than parallel arrays of related values?

Is there an algorithm to merge 2 max-heaps into a min-heap with a time complexity of less than O(n)?

Algorithms seem to be involved with many parts of our lives. What are they and how could I learn more?

Are search algorithms really hard to explain, or are they not understood enough by those who implement them?

What are the advantages/disadvantages of online optimization algorithms compared to offline ones, and what are the most basic/common online algorithms?

We have to perform fast searches on a Database. Which type of self-balancing tree can be used so that the search, insert time will be efficient?

My professor tells me I shouldn’t waste my time writing unit tests. Is he right?

How can I build an algorithm?

Assume we have the pre-order traversal of an expression tree. Is the tree we create with this traversal unique?

Is there an algorithm that can generate different algorithms based on given sets of patterns/data?