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Python Code Samples

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

2 matches
Files & data easy

How to Extract IP Address Counts from Access Logs in Python

Read a web server access log, count occurrences of each IP address using regex and Counter, and print the ranked results.

regex access log counter
Python
import re
from collections import Counter
from pathlib import Path

def extract_ip_counts(log_file_path):
    ip_pattern = r'^(\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3})'
    ip_counter = Counter()
    
    with open(log_file_path, 'r') as file:
        for line in file:
            match = re.match(ip_pattern, line)
       …
17 0 Open
Files & data easy

How to Parse JSON, TXT, and CSV Files in Python

This code provides simple functions to read and parse JSON, text, and CSV files using Python's standard library, returning native data structures.

json csv file parsing
Python
import json
from pathlib import Path

def parse_json_file(filepath):
    """Read and parse a JSON file, returning its contents."""
    path = Path(filepath)
    with path.open('r', encoding='utf-8') as f:
        return json.load(f)

def parse_txt_lines(filepath):
    """Read a text file and return non-empty stripped …
14 0 Open

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Guide: free Python code samples library

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.