Applied Math with Python

Name: Applied Math with Python
Price: 57.95 AUD
Availability: OutOfStock
ISBN: 9781394370757

Solve Real-World Problems with Python-Based Solutions

Blake Rayfield (University of North Florida; University of New Orleans)

$57.95

Paperback

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English

John Wiley & Sons Inc
16 June 2026

Applied mathematics; Programming & scripting languages: general

A step-by-step guide for using Python to transform abstract mathematical concepts into effective, on-the-ground scripts that solve real-world business problems

Applied Math with Python: Solve Real-World Problems with Python-Based Solutions is a detailed, step-by-step guide for business professionals, analysts, and data scientists interested in using Python to perform crucial organizational tasks: optimizing inefficient supply chains, calculating probabilities, forecasting financial performance, mining customer data for new insights, and more.

Author, researcher, and Assistant Professor of Finance at the University of North Florida, Blake Rayfield uses practical examples and hands-on exercises to explain how to combine concepts from optimization, probability, statistics, and other branches of mathematics with the Python language to solve difficult, common business problems. You’ll discover how marketing managers can use Python to create useful customer segments, how to model revenue growth, and how to allocate limited resources in a product launch or expansion.

Inside the book:

Modular, plug-and-play strategies for solving hard problems in Python in situations where a spreadsheet is inadequate Instructions for building effective, scalable Python scripts incorporating many of the most powerful Python libraries, including pandas, NumPy, matplotlib, seaborn, scikit-learn, and Plotly Start-to-finish coverage for business professionals – from building a Python scripting environment on your local computer or in a cloud environment to designing, writing, testing, and running a functional script

Perfect for entrepreneurs, analysts, managers, and professionals working in AI, data science, and finance, Applied Math with Python is an expert guide for transforming abstract mathematical concepts into useful, repeatable, scalable solutions you can put to work immediately in your team and in your organization.

By: Blake Rayfield (University of North Florida; University of New Orleans)
Imprint: John Wiley & Sons Inc
Country of Publication: United States
Dimensions: Height: 229mm, Width: 183mm, Spine: 15mm
Weight: 590g
ISBN: 9781394370757
ISBN 10: 139437075X
Pages: 288
Publication Date: 16 June 2026
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Part 1: Getting Started Chapter 1: Introduction to Python for Business Applications Chapter 2: Basic Mathematical Operations in Python Chapter 3: Visualization for Business Decision-Making Part 2: Applying the Math Chapter 4: Linear Algebra for Business and Finance Chapter 5: Calculus for Business Problem Solving Chapter 6: Optimization Techniques for Business Strategy Chapter 7: Probability and Statistics for Business Analytics Chapter 8: Applied Business Problems with Math and Python Part 3: Visualizing the Numbers Chapter 9: Illustrating Time-Series and Linear Data Chapter 10: Illustrating Cross-sectional Data Chapter 11: Illustrating Alternative Data Types Index

BLAKE RAYFIELD, PhD, is an Assistant Professor of Finance at the University of North Florida. He's a Fulbright Specialist with expertise in applying mathematical solutions to common, difficult business problems. His research has appeared in the Journal of Financial Research, the Quarterly Review of Economics and Finance, and the Review of Behavioral Finance.