Buch, Englisch, 288 Seiten
Solve Real-World Problems with Python-Based Solutions
Buch, Englisch, 288 Seiten
ISBN: 978-1-394-37075-7
Verlag: John Wiley & Sons Inc
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.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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
