How to Implement a Hash Map in JavaScript

Arrays are amazing for looking up elements at specific indices as all elements in memory are contiguous, allowing for O(1) or constant time lookups. But often we don't, or can't, perform lookups via indices. Hash maps and hash tables are a way around this, enabling us to lookup via keys instead.

Arrays are amazing for looking up elements at specific indices as all elements in memory are contiguous, allowing for O(1) or constant time lookups. But often we don't, or can't, perform lookups via indices. Hash maps and hash tables are a way around this, enabling us to lookup via keys instead.

Can you implement the Map class from scratch? Only two methods are necessary-- get and set. Many programming languages have a built-in hash or dictionary primitive (like Javascript Objects and {} notation), but we don't want to use that for this exercise.

This lesson was originally published at https://algodaily.com, where I maintain a technical interview course and write think-pieces for ambitious developers.

Note: Regular Javascript objects and the Map class are both simple key-value hash tables/associative arrays, with a few key differences:

A Map object can iterate through its elements in insertion order, whereas JavaScript's Objects don't guarantee order. In addition, Objects have default keys due to their prototype, and Maps don't come with default keys. Here's a good breakdown of the two. For the purpose of this exercise, let's assume the same functionality for both.

For the two methods you’ll define:

1. get(key: string) should be given a key, and return the value for that key.
2. set(key: string, val: string) should take a key and a value as parameters, and store the pair.

Additionally, we’ve supplied the below hashing function hashStr. It tries to avoid collision, but is not perfect. It takes in a string value and returns an integer.

function hashStr(str) {
    let finalHash = 0;
    for (let i = 0; i < str.length; i++) {
        const charCode = str.charCodeAt(i);
        finalHash += charCode;
    }
    return finalHash;
}

console.log(hashStr('testKey'))

algorithms data-structures javascript computer-science programming

Become a data analysis expert using the R programming language in this [data science](https://360digitmg.com/usa/data-science-using-python-and-r-programming-in-dallas "data science") certification training in Dallas, TX. You will master data...

Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.

This is just meant as a friendly introduction to a topic that every computer science and data science program I know off explores in an entire course or a few.

The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.

Arrays, Linked Lists, Stacks, Queues and Hash Tables. Working with any kind of algorithm starts with learning a set of data structures associated with it.