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Computational Probability with Python: Theory, Simulation, and Actuarial Applications
Hardcover
ISBN13: 9781041354642
Publisher: CRC Press
Published: Dec 1 2026
Pages: 280
Language: English
Probability theory provides the foundation for understanding uncertainty in fields ranging from finance and insurance to engineering and data science. This textbook is designed for undergraduate actuarial students seeking a clear, practical, and mathematically sound introduction to the subject. Requiring only a first course in calculus, it develops core ideas in a structured and accessible way, making it suitable for a one-semester course as well as for independent study.
What sets this book apart is its balanced approach between intuition and rigor. Rather than relying heavily on measure-theoretic formalism or focusing solely on computational techniques, it introduces essential concepts--such as probability spaces--in a gradual and approachable manner. By combining theoretical development with computational tools, the text bridges the gap between abstract understanding and real-world application, preparing students for both academic study and professional practice.
Key features:
- A balanced presentation that introduces foundational concepts of probability without heavy measure-theoretic machinery
- Clear, step-by-step development starting from set theory and building toward probability models and applications
- Numerous practice questions adapted from Society of Actuaries Probability (P) exam materials
- Selected solutions with detailed explanations to support self-study and deeper understanding
- Integrated Python simulations in every section to illustrate concepts and verify results
- Accompanying Jupyter notebooks available online for interactive learning and experimentation
By combining mathematical rigor, practical exercises, and modern computational tools, this book offers a solid introduction to probability theory. It is ideal for actuarial students preparing for professional exams, while also serving as a valuable resource for students in related fields who seek a solid and engaging foundation in probability.
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