Quick Sort Algorithm - Python Typing CST Test
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Quick Sort Algorithm — Python Code
Implements the quick sort algorithm using recursion and list comprehensions in Python.
def quick_sort(arr):
if len(arr) <= 1:
return arr
pivot = arr[len(arr) // 2]
left = [x for x in arr if x < pivot]
middle = [x for x in arr if x == pivot]
right = [x for x in arr if x > pivot]
return quick_sort(left) + middle + quick_sort(right)
# Example usage
if __name__ == "__main__":
data = [3, 6, 8, 10, 1, 2, 1]
print(f"Original: {data}")
sorted_data = quick_sort(data)
print(f"Sorted: {sorted_data}")Python Language Guide
Python is a high-level, dynamically typed, multi-paradigm programming language known for simplicity, readability, and massive ecosystem support. It powers web development, data science, machine learning, automation, scripting, backend systems, and more.
Primary Use Cases
- ▸Backend web development
- ▸Machine learning & AI
- ▸Data analysis & visualization
- ▸Automation & scripting
- ▸API development
- ▸Scientific computing
- ▸DevOps tooling
- ▸Cybersecurity scripting
Notable Features
- ▸Simple, readable syntax
- ▸Massive standard library
- ▸Dynamically typed
- ▸Extensive third-party ecosystem (PyPI)
- ▸Cross-platform
- ▸Strong scientific & ML libraries
Origin & Creator
Created by Guido van Rossum in 1991, inspired by ABC language with a vision of a simple, readable language for everyday programming tasks.
Industrial Note
Python dominates in AI/ML research, automation-heavy engineering teams, fast MVP prototyping, data-driven industries, hybrid cloud pipelines, ETL scripting, scientific computing, and large-scale analytical workflows.