Dynamic Node-Based Sequences¶
third = {"value": 30, "next": None}
second = {"value": 20, "next": third}
head = {"value": 10, "next": second}
print(head["value"])
print(head["next"]["value"])
Linked lists store a path from node to node instead of one indexed block¶
Stacks and queues focused on which item leaves next. Linked lists focus on how items are connected. Each node stores a value and a link to the next node, which makes the structure flexible even though it is less convenient for random access.
Core Explanation¶
A linked list stores values in nodes. Each node points to the next one.
This makes linked lists conceptually different from Python lists, which store references in an indexed sequence.
Continuity from stacks and queues
Stacks and queues taught processing order. Linked lists now expose the structure underneath many dynamic containers: each element can point to the next one directly.
Exercises¶
Explain one advantage of linked structures conceptually.
Trace the values in the example node chain.
Compare a linked list to a regular Python list in plain language.
Explain what the
Nonevalue means at the end of a linked list.
Hint
A linked list is easiest to understand if you picture each node as a small box with two parts: the value and the path to the next box.
Quick Summary
linked lists are built from nodes
each node stores data and a reference
traversal follows
nextuntilNonelinked lists are a useful conceptual bridge to pointer-based structures
Worked Example and Practice Lab¶
Expected output
A B CThe first example shows the key idea: you do not jump to an index. You follow links one node at a time.
Expected output
['A', 'B', 'C']Linked-List Building Blocks¶
These short examples separate the main linked-list ideas into smaller steps.
Create a node chain¶
Start by linking a few nodes together through the next reference.
Read the head and next node¶
Follow one next pointer to access the next value in the chain.
Traverse the full list¶
Move node by node until the chain reaches None. This is the basic linked-list traversal pattern.
Insert a new head node¶
A new head points to the old head, so insertion at the front is simple.
Guided Practice¶
What does each linked-list node usually store?¶
What traversal result is printed in the second example?¶
Key Takeaway¶
Linked lists make structure explicit: each node knows how to reach the next node. That idea prepares you for more specialized linked forms, including singly and doubly linked lists.