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Linked Lists for Programmers

Learn linked lists from first principles: nodes, references, arrays vs linked lists, singly linked lists, doubly linked lists, and practical tradeoffs.

Most explanations of linked lists start with code.

They show a Node, a next pointer, and then suddenly you are reversing lists in place while pretending this is a normal way to spend an afternoon.

That is too fast.

A linked list is not primarily about interview tricks.

It is a different way to think about a sequence.

An array says:

items live next to each other
position gives access

A linked list says:

each item knows where the next item is
relationships give access

That difference sounds small, but it changes everything: how you move through the data, how you insert, how you delete, how memory behaves, and why linked lists are useful in some systems but a bad choice in a lot of ordinary application code.

The Story

This series is a first-principles path through linked lists.

Linked Lists for Programmers
  -> Why linked lists exist
  -> Nodes and references
  -> Arrays vs linked lists
  -> Singly linked lists
  -> Doubly linked lists
  -> Common operations
  -> Cost model and memory behavior
  -> Where linked lists show up
  -> When not to use them

The goal is not to memorize pointer puzzles.

The goal is to understand the model well enough that the operations stop feeling mysterious.

The First Picture

Here is the whole shape:

head
 |
 v
[A] -> [B] -> [C] -> null

There is no magic container holding all the nodes together.

There is a starting reference called head.

Each node points to the next node.

The list exists because those references form a chain.

That is the mental shift.

Where To Start

Start with why linked lists exist at all.

Then learn what a node really is.

Then compare linked lists with arrays, because most practical decisions come down to that tradeoff.

After that, singly and doubly linked lists will feel like small variations on the same model.

The operations come later.

The model comes first.