Reference library

Python Code Samples

Copy-ready Python snippets by topic and difficulty — short, focused, and runnable in the browser editor.

2 matches
Dictionaries & sets easy

Build adjacency dict graph from edges in Python

Convert a list of edges into an undirected adjacency dictionary, mapping each node to its neighbors, with sorted output.

graph adjacency dictionary
Python
def build_adjacency_dict(edges):
    graph = {}
    for u, v in edges:
        if u not in graph:
            graph[u] = []
        if v not in graph:
            graph[v] = []
        graph[u].append(v)
        graph[v].append(u)
    return graph

if __name__ == "__main__":
    edges = [(1, 2), (2, 3), (3, 4), (4, 1)…
12 0 Open
OOP & classes easy

Graph Class with Adjacency Dict in Python

Build an undirected graph class using a dictionary of adjacency lists with methods to add vertices, edges, remove edges, and query neighbors.

graph oop adjacency-list
Python
class Graph:
    def __init__(self):
        self.adjacency = {}

    def add_vertex(self, vertex):
        if vertex not in self.adjacency:
            self.adjacency[vertex] = []

    def add_edge(self, u, v):
        self.add_vertex(u)
        self.add_vertex(v)
        self.adjacency[u].append(v)
        self.adja…
12 0 Open

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Copy-ready Python snippets for learners and developers

PythonSkillset code samples are short, focused examples organised by topic and difficulty. Every snippet is server-rendered HTML — readable by search engines and easy to copy. Open any sample, read the notes, copy the code, then press Try in editor to run it in the browser with Pyodide.

How to use this library

  1. Pick a topic section — strings, lists, files, functions, and more
  2. Open a sample, read How it works, and copy the code block
  3. Run it in the IDE, tweak values, then take a related quiz or tutorial lesson

Samples vs tutorials and challenges

Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.