Introduction to Python

What is Python?

Python is a high-level, interpreted, general-purpose programming language created by Guido van Rossum in 1991. It emphasizes code readability and simplicity, using significant indentation (whitespace) to define code blocks instead of curly braces or keywords.

Key Facts:

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Python vs Other Languages

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Installing Python

1. Download from python.org.
2. During installation, check "Add Python to PATH".
3. Verify installation: Open terminal/command prompt and type python --version.

Popular IDEs and Editors:

• Jupyter Notebook — Best for Data Science (interactive, cell-based).
• VS Code — Lightweight, extensible editor with Python extension.
• PyCharm — Full-featured IDE for professional Python development.
• Google Colab — Free cloud-based Jupyter Notebook (no installation needed).

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Your First Python Program

The classic "Hello, World!" program in Python is just one line:

print("Hello, World!")

Compare this to Java:

public class Main {
    public static void main(String[] args) {
        System.out.println("Hello, World!");
    }
}

Python's simplicity is immediately evident — one line vs. five.

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Python's Indentation Rule

Python uses indentation (typically 4 spaces) to define code blocks, not curly braces {}. This enforces readable code by design.

Correct:

if True:
    print("Indented correctly")

Incorrect (will cause IndentationError):

if True:
print("No indentation")  # Error!

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Comments in Python

Python's Data Science Ecosystem

Summary

• Python is a high-level, interpreted, dynamically-typed language created in 1991.
• It is the most popular language for Data Science due to its simplicity and rich library ecosystem.
• Python uses indentation for code blocks, making it inherently readable.
• Jupyter Notebook and Google Colab are the preferred environments for data science work.