The most important data structures that you should know for your next
Niklaus Wirth, a Swiss computer scientist, wrote a book in 1976 entitled " Algorithms + Data structures = Programs ".
More than 40 years later, this identity remains in force. That's why applicants who want to become programmers should demonstrate that they know the data structures and are able to apply them.
Practically all tasks from the candidate require a deep understanding of data structures. It is not so important whether you are a graduate (graduated from university or programming courses), or you have dozens of years of experience behind you.
Sometimes in questions for interviews, one or another data structure is directly mentioned, for example, "a binary tree is given". In other cases, the task is formulated more veiled, for example, "we need to track how many books we have from each author."
Studying data structures is an irreplaceable business, even if you are just trying to improve professionally at the current job. Let's start with the basics.
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