![]() ![]() Knowing how data structures work will help you to think better about your code and how to structure better solutions for your problems. Everyone can understand and learn about them, even people who are not developers. That’s why they are one of the most important concepts for a developer to know. The nice thing about data structures is that as algorithms, data structures are not dependent on any specific language or framework. Every computer program has a data structure in it. We are using data structures in every aspect of computer programming, in our software, applications, websites, CLIs, GUIs, etc. There are different data structures, each one has a different use case, but all of them can have the same objective-that’s how to have the best performance when storing and dealing with data. We can think of data structures as a nice and performative way to store data. ![]() They are counting on us to store their data, and we should handle this job carefully. It’s how we can learn and know more about our users. Data is an important aspect of every application. Probably one of the most important is how to store data. How we are going to store our data, how we are going to deal with state logic, how we should handle authentication, etc. For example, they are used for caching.Learn about two important data structures-stack and queue-and how to implement them in JavaScript.Įvery time we are developing a new application, there are certain topics that we should think through first in order to achieve our goal and have a nice result. ![]() Queues are useful when the ordering of the data matters as it preserves that ordering.Stacks can be used to implement recursive solutions iteratively.For example, parsing questions tend to use stacks because of the LIFO property. Stacks are useful for backtracking features.size: a function that returns the number of elements that are in a queue at any given time.isEmpty: a function that checks if the queue is empty or not - helpful when trying to clear all the elements from a queue.peek: a function that returns the first value (what is first in the queue), but does not remove it.dequeue: the function that is used to remove the first element from the stack.enqueue: the function that is used to add elements into the queue.It is important to be comfortable with the common operations of a queue. With a queue of people waiting to get a seat in a restaurant, the first people to get in the queue will be the first people seated at that restaurant. ![]() An example to help you remember the mechanics of a queue is to associate it with queues in real life. A helpful acronym associated with queues is FIFO, first in first out. size: a function that returns the number of elements that are in a stack at any given timeĪ queue is a data structure that stores objects in which the most stored objects are the first ones to be removed.isEmpty: a function that checks if the stack is empty or not - helpful when trying to clear all the elements from a stack.top (peek): a function that returns the first value (what is on top of the stack), but does not remove it.pop: the function that is used to remove elements from the stack.push: the function that is used to add elements into the stack.It is important to be comfortable with the common operations of a stack. With a stack of plates, the plates that are placed on top of a stack will be the first ones that are removed from the top! An example to help you remember the mechanics of a stack is to associate it with stacks in real life. StacksĪ stack is a data structure that stores objects in which the most recently stored objects are the first ones to be removed, (LIFO: last in, first out). It is important to be comfortable with these two data structures because depth-first-search and breadth-first-search will use them for graph traversals. Stacks and queues are foundational data structures that are useful when adding and removing in particular orders. ![]()
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