Python is a high-level, interpreted programming language known for its simplicity and readability. It was created by Guido van Rossum and first released in 1991. Python’s design philosophy emphasizes code readability with its notable use of significant whitespace.

Key Features

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Python’s syntax is clear and expressive, making it easy to write and maintain code. Compare Python’s readability with other languages:

  # Python
if x > 10:
    print("x is greater than 10")

# Java
if (x > 10) {
    System.out.println("x is greater than 10");


Python is used in various domains such as web development, data analysis, artificial intelligence, and scientific computing. Here’s an example of using Python for data manipulation with pandas:

  # Data Analysis with pandas
import pandas as pd

data = {'Name': ['Alice', 'Bob', 'Charlie'],
        'Age': [25, 30, 35]}
df = pd.DataFrame(data)

Large Standard Library

Python’s standard library includes modules for common tasks, reducing the need for external libraries. For example, handling dates with datetime:

  # Working with Dates using datetime
from datetime import datetime

now =
print(now.strftime("%Y-%m-%d %H:%M:%S"))


Python code is executed line by line, simplifying debugging and development. Compare Python’s interpreted nature with compiled languages:

  # Python (interpreted)
print("Hello, World!")

# C (compiled)
#include <stdio.h>
int main() {
    printf("Hello, World!");
    return 0;

Dynamically Typed

  # Dynamic Typing
name = "Alice"
age = 30
is_student = True

# Changing Variable Types
name = 42  # Now name is an integer