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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
AI & LLM integration patterns easy

Demonstrate Prompt Injection Bypass in Python

Simulate why naive system prompt filters fail against prompt injection with casing and spacing variations.

prompt-injection llm-security demo
Python
# Demonstrate why system prompts can be bypassed by simulated user input
# This demo shows a naive filter being ignored via prompt injection

def process_user_message(message, system_rules):
    """Simulate an AI that follows system rules but gets tricked."""
    # Claim to check system rules
    for rule in system_ru…
14 0 Open
AI & LLM integration patterns medium

How to Detect Prompt Injection in Python

Implements a regex-based heuristic in Python to flag common prompt injection attempts before sending input to an LLM.

prompt-injection regex llm-security
Python
import re

def contains_prompt_injection(user_input: str) -> bool:
    # Directives to ignore previous instructions or act as system
    ignore_patterns = [
        r"\bignore\s+(all\s+)?previous\s+instructions\b",
        r"\bdisregard\s+(all\s+)?previous\s+instructions\b",
        r"\bdon'?t\s+follow\s+(any\s+)?inst…
13 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.