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@aarsenault·2 public vizzes
This example demonstrates a depth-first search algorithm traversing a small graph represented as a Python dictionary, with sets of neighboring nodes as values. It shows how the search visits nodes from a starting point toward a goal, collecting visited nodes into a set and returning the traversal path when the goal is reached. The code uses plain Python data structures and recursion, with no external visualization libraries. The graph’s six nodes (A through F) and their edges are hardcoded, and the algorithm prints the set of visited nodes upon success, while returning `False` if no path exists.
This example presents a single linked list data structure implemented in Python, demonstrating node traversal, insertion, search, and removal operations. The code defines a `Node` class to store values and references, while the `LinkList` class manages the head node and provides methods such as `push`, `pop`, `search`, and `out_put`. Traversal logic moves through the list iteratively, and the `out_put` method prints each value to the console. The visualization is purely code-based, with no graphical rendering or external libraries.