1.1 What is Python?

Python is a high-level, interpreted, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant indentation.

Why Python for Data Science?

Python has become the de-facto language for data science due to its simplicity, vast ecosystem of libraries (NumPy, Pandas, Matplotlib, Scikit-learn), and strong community support. It allows data scientists to quickly prototype and deploy solutions.

Python Overview
Python Logo and its applications.

Key Features:

  • Readability: Simple, clean syntax.
  • Large Standard Library: Extensive modules for various tasks.
  • Versatile: Used in web development, data science, AI, automation, etc.
  • Community: Large and active community, abundant resources.

1.2 Setting Up Your Python Environment

Setting up Python involves installing the Python interpreter and optionally a package manager (like pip) and a virtual environment tool (like venv or Anaconda).

Python IDE
Setting up your Python development environment.