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Python

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Python is a high-level, interpreted, general-purpose programming language known for its remarkable readability, simplicity, and versatility. Created by Guido van Rossum and first released in 1991

Key Features

  1. Easy to Learn & Read:

    • Minimalistic syntax (fewer symbols like {} or ;).

    • Uses indentation for code blocks, enforcing visual structure.

    • Reads almost like pseudocode, lowering the barrier for beginners.

  2. Interpreted & Interactive:

    • Runs line-by-line via the Python interpreter (no compilation step).

    • Supports an interactive mode (REPL) for quick testing and prototyping.

  3. Multi-Paradigm:
    Supports procedural, object-oriented (OOP), and functional programming styles.

  4. Dynamically Typed:

    • Variable types are inferred at runtime (no explicit type declarations).

    • Flexible but requires careful testing to avoid runtime errors.

  5. Cross-Platform:
    Runs on Windows, macOS, Linux, and more.

  6. "Batteries Included" Philosophy:
    Ships with a vast standard library for tasks like file I/O, web protocols, databases, and data compression.


Why Python? Key Strengths

Use Case

Examples

Web Development

Django, Flask, FastAPI (backend frameworks)

Data Science

Pandas (data analysis), NumPy (math), Matplotlib/Seaborn (visualization)

Machine Learning

Scikit-learn, TensorFlow, PyTorch

Automation/Scripting

OS tasks, file processing, web scraping (Beautiful Soup, Selenium)

Scientific Computing

Physics simulations, bioinformatics, astronomy

DevOps & Cloud

AWS/Azure scripting, infrastructure-as-code (Terraform), CI/CD pipelines

Embedded Systems

MicroPython for IoT devices


Python Code Example (Simple & Readable)

python

# Calculate factorial of a number
def factorial(n):
    if n == 0:
        return 1
    else:
        return n * factorial(n-1)

print(factorial(5))  # Output: 120

Limitations

  • Slower Execution: Being interpreted, it’s slower than compiled languages (C++, Java) for CPU-heavy tasks.

  • Global Interpreter Lock (GIL): Limits true multi-threading (though multiprocessing avoids this).

  • Not Ideal for Mobile Apps: Weak native mobile support (Kivy/BeeWare exist but are niche).


Who Uses Python?

  • Google (core search algorithms, YouTube)

  • NASA (scientific computing)

  • Netflix (data analysis, server automation)

  • Spotify (recommendation systems)

  • Dropbox (desktop client backend)

  • AI Researchers (PyTorch/TensorFlow dominance)


Python 2 vs. Python 3

  • Python 2 (EOL in 2020) is obsolete.

  • Python 3 (current) has modern features like async/await, type hints, and Unicode support. Always use Python 3!

Python’s blend of simplicity and power makes it the #1 language for beginners, the go-to tool for data science/AI, and a staple in modern software development. 🐍✨