Python Numeric Programming with Complex and Rational Types

Standard floating-point math in programming often leads to unexpected rounding errors and limitations when handling complex mathematical operations. To write robust financial, scientific, or data-focused applications, you need a deep understanding of how Python represents and manages diverse number systems. This text-based course guides you through Python's specialized numeric types and advanced number handling techniques. You will start with core concepts and fundamental terminology, ensuring you understand how Python stores and manipulates numbers internally. Next, you will explore base conversions for integers, work with exact fractional representations using the fractions module, and dive into complex number operations. You will also learn to handle edge cases like infinity and Not-a-Number (NaN) values, while applying modern Python practices like type hints and dataclasses for cleaner code. What you'll learn: Understand integer representation across binary, octal, and hexadecimal bases; Manage exact rational numbers using the Python fractions module to avoid floating-point drift; Configure and calculate with complex numbers using built-in types and operators; Handle special floating-point values such as positive/negative infinity and NaN safely; Apply modern Python type hints to enforce strict numeric interfaces in your code. This comprehensive guide starts with foundational mathematical concepts before moving into practical code-based implementations and common debugging scenarios. This course is designed for beginner to intermediate Python programmers who want to deepen their understanding of numeric precision and mathematical programming. No advanced math background is required.