Python has become the de facto language for data science. Libraries like NumPy, Pandas, and Scikit-learn provide powerful tools for data manipulation, analysis, and machine learning.
In this guide, we'll explore data preprocessing, exploratory data analysis, and building predictive models. We'll use Jupyter notebooks for interactive development and visualization with Matplotlib and Seaborn.