Hello readers 👋, welcome to the 23rd blog in this JavaScript series! In the last post, we discovered how async/await makes asynchronous code feel as natural as synchronous code. Today, we are going to talk about a pair of operators that look identical but do completely opposite jobs: the spread and rest operators. Both use three dots (...), but one expands values out while the other collects valu
A* looks simple until you implement it. Then one question appears: Why does this algorithm find good paths without checking every possible path? The answer is its scoring structure. A* does not only ask, “How far have I moved?” It also asks, “How far do I probably still need to go?” A* is a shortest-path search algorithm. But it is not blind search. It combines: the real cost so far the estimated
Hello readers 👋, welcome to the 22nd blog in this JavaScript series! In our last post, we learned how try...catch helps us build resilient applications that handle failures gracefully. Today we are going to explore something that makes asynchronous code feel almost as straightforward as synchronous code: async/await. If you have ever wished that promise chains could read like a simple sequence of
Hello readers 👋, welcome to the 21st blog in this JavaScript series! In the last post, we unlocked the elegance of destructuring and how it simplifies working with arrays and objects. Today, we are going to talk about a topic that separates a fragile program from a robust one: error handling. No matter how carefully we write code, things go wrong. A network fails, a file is missing, an API return
Hello readers 👋, welcome to the 20th blog in this JavaScript series! In the last post, we explored Map and Set, two modern data structures that make our code cleaner and more expressive. Today, we are going to talk about a feature that smooths out one of the most common repetitive tasks in JavaScript: pulling values out of arrays and objects. That feature is called destructuring. If you have ever
Hello readers 👋, welcome to the 19th blog in this JavaScript series! In the last post, we explored the this keyword and how it flexibly points to different callers depending on the context. Today, we are going to talk about two powerful data structures introduced in ES6 that often don't get enough love: Map and Set. If you have been using plain objects for key-value storage or arrays for everythi
CSV is everywhere — spreadsheets, data exports, API responses that somehow still use it. JSON is what your code actually wants. Here's how to convert between them in pure JavaScript, without installing anything. CSV (comma-separated values) is simple and universal. JSON is structured and directly usable in JavaScript. The conversion problem shows up constantly: You export user data from a CRM as C
I've been on both sides of the data engineering hiring table for years. I've written interview loops, failed interview loops, and watched candidates ace screens that told me absolutely nothing about whether they could debug a silent data loss bug at 2am. The signal was always thin. Now it's basically noise. Here's the situation in 2026: 64% of companies ban AI in interviews. Candidates use it anyw