This project is a comprehensive educational curriculum designed to teach Python programming through the lens of data science and financial analysis. It provides a structured guide for learning how to process complex numerical information, build data models, and perform scientific computing tasks using standard industry libraries.
The materials focus on practical applications, enabling users to develop skills in financial data analysis and interactive exploration. By working through these resources, learners gain experience in executing high-performance mathematical operations, transforming raw datasets, and creating graphical representations to identify trends and patterns.
The repository consists of a collection of interactive notebooks that facilitate iterative development and real-time visualization. These educational materials are organized to support the transition from fundamental programming concepts to advanced workflows involving large-scale data processing and quantitative decision-making.
