What advantages does Python have compared to Rust and Go, and in which scenarios is it most effective?

Python has several advantages over Rust and Go, especially in terms of development speed and syntax simplicity. Main benefits:

• Simplicity and readability of code: Python has a concise and understandable syntax, which speeds up writing and maintaining code.
• Large ecosystem and libraries: a vast number of ready-made libraries for various tasks — from data analysis to web development.
• Interactivity and quick idea testing: thanks to REPL and dynamic typing, it is convenient to prototype quickly.
• Cross-platform compatibility: Python runs on most OSes without changes.

However, Python lags behind Rust and Go in performance and memory management.

Python is most effective in scenarios:

• Rapid prototyping and MVP development.
• Automation scripts and data processing.
• Scientific computing, machine learning, data analysis.
• Web development (e.g., with Django or Flask).

Example of a simple Python script for data processing:

import csv

def read_csv(file_path):
    with open(file_path, newline='') as csvfile:
        reader = csv.DictReader(csvfile)
        for row in reader:
            print(row)

read_csv('data.csv')