The article will teach you the basics of data structures and algorithms in Python. Arrays, lists, dictionaries, tuples, sets, and queues are all there and more.
Finding the minimum in SQL is easy: just use the MIN() aggregate function. In this article, you will learn how to do it in different real-case scenarios.
What are Python hashmaps, what are the basic operations and advanced techniques, and how to use them in practice? We answer all that and more in this article.
ROW_NUMBER() is one of the essential ranking window functions in SQL. Learn where you can use it and how it works with ORDER BY and PARTITION BY window clauses.
MAX() in SQL is a straightforward aggregation method for finding maximum values. Learn here about its syntax and use cases through real interview examples.
Use Python's for loop index to manage data efficiently, improve performance, and ensure smoother processing, especially with large datasets or complex tasks.
Using SQL COUNT(DISTINCT) is an easy way to count distinct values in SQL. However, it has its own quirks, which we’ll explain (with examples) in this article.
Data structure interview questions are a big part of interviews for many data roles. To answer them, you should know the data structures we’ll cover here.