Aditya Gupta

Higher order iterator methods in Rust like map, filter, and fold let you transform, filter, and reduce sequences of values in a functional style. These methods work on any type that implements the Iterator trait, and they produce new iterators that are lazy and efficient. After learning how to use .next() and build custom iterators, […]

The Iterator trait in Rust defines how to loop through a sequence of values. If a type implements Iterator, you can use it with for loops, .next(), and many functional-style methods like map, filter, and fold. Every iterator has a next() method that returns one item at a time. When I started using iterators in

Closures in Rust are anonymous functions that you can assign to variables, pass as arguments, and use just like regular functions. They can capture values from their environment, which makes them powerful for callbacks, iterators, and async workflows. The first time I used a closure in Rust, it reminded me of JavaScript arrow functions, but

Lifetimes in Rust tell the compiler how long references should remain valid. They prevent dangling pointers and invalid memory access without using a garbage collector. Rust infers lifetimes in most cases, but in some function and struct signatures, you must annotate them explicitly using symbols like ‘a. When I first came across lifetime annotations in

Trait bounds in Rust let you write generic code that only works for types with specific capabilities. You use T: Trait or where clauses to constrain what types are allowed. This helps you keep your code flexible but still type-safe. After I started using generics, I found myself needing to limit which types could be

Traits in Rust are like interfaces in other languages. They define shared behavior that types can implement. You can use built-in traits like Debug, or define your own. Traits let you write code that works across different types, as long as they implement the expected behavior. When I began working with generics in Rust, I

Rust allows you to write flexible and reusable code by using generic types in your functions and structs. You define generics with angle brackets like <T>, allowing your code to work across many types while staying safe and fast. A big shift from JavaScript to Rust is thinking about data types upfront. In JavaScript, you

Rust and JavaScript are very different languages designed for different goals. Rust focuses on safety and performance with strong typing and no garbage collector, while JavaScript prioritizes flexibility and rapid development in the browser and beyond. If you are a JavaScript developer learning Rust, you have probably already noticed how much stricter Rust is. At

Rust includes built-in tools to keep your code clean, readable, and consistent. Use rustfmt to format code automatically and clippy to catch common mistakes and bad practices. These tools help you write professional-grade code from day one. Recently, I noticed that all good code looked very similar. That was not an accident, rustfmt and clippy

Rust supports two types of comments: normal inline (//) or multi-line (/* … */) for explaining your code, and special documentation comments that generate public-facing docs. Writing clear comments is key to keeping your Rust code readable and maintainable. One thing I learned early in Rust is that clear code is not always self-explanatory. Like