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Tsutomu Saito, PyQ Team, B-Ploud Corporation (Author)
 Original text before translation
株式会社ビープラウド、PyQチーム、斎藤 努 (著)
(172690)
JAN:9784798172699
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(172690)
JAN:9784798172699
Wholesale Price: Members Only
1 pc /set
In Stock
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| Shipping Date |
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About 1 week
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| Dimensions |
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Format:A5
Number of pages:312 |
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Country of manufacture: Japan
Material / component: Format:Book (paper)
Year of manufacture: 2024
Product tag: None
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Description
| The second edition of PyQ's most popular content to be published in book form Learn mathematical optimization and problem solving techniques in Python! [Background of this book] Today, mathematical optimization is used in a wide range of fields, such as optimizing production plans, creating work shift schedules, and planning efficient resource allocation. However, due to its theoretical depth and wide range of applications, beginning students often feel frustrated (excerpt from [Introduction]). [Contents of this book] Theory and details are kept to a minimum so that the reader can experience optimization while running Python code. In addition, the book is structured in such a way that the reader can check his/her understanding by solving simple confirmation questions. (Excerpt from [Introduction]). [What is PyQ? PyQ is an online Python learning service operated by B-Ploud Inc. [Learning Environment] Execution environment: PyQ or JupyterLab on PC Language: Python 3.11 Libraries: mip (1.15.0), mip-tool (0.3.2), pandas (2.1.3), JupyterLab (4.0.9), Matplotlib(3.8.2) [Target Readers] *Those who want to use mathematical optimization to solve problems in society and in their daily lives. *Those who have studied mathematical optimization but failed to master it. [Prerequisite knowledge] *Knowledge of vectors in high school mathematics *Knowledge of Python syntax [Table of Contents] Prologue Learning Python and Mathematical Optimization with PyQ Chapter 0 How to Use This Book Chapter 1 Problem Solving with Mathematical Optimization Chapter 2: What is a Mathematical Model? Chapter 3: Creating Mathematical Models in Python Chapter 4: Many Variables are Vectors Chapter 5 What is Mixed Integer Optimization? Chapter 6: Python-MIP Classes Chapter 7: How do you solve a problem? Chapter 8: I want to reduce transportation costs. Chapter 9: Make a menu that makes you want to eat more Chapter 10: Sharing the Beverage Chapter 11. I want to make a shift list Chapter 12. Let's make a mathematical model with pandas Chapter 13 Re-modeling with pandas [Author's Profile] *B-Ploud Corporation *PyQ Team *Tsutomu Saito In charge of PyQ, etc. at B-Ploud Corporation. |
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| Shipping Method | Estimated Arrival |
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| Sea Mail | From Nov.10th 2025 to Jan.12th 2026 |
| Air Mail | From Oct.23rd 2025 to Oct.27th 2025 |
| EMS | From Oct.22nd 2025 to Oct.27th 2025 |
| Pantos Express | From Oct.24th 2025 to Oct.29th 2025 |
| DHL | From Oct.22nd 2025 to Oct.24th 2025 |
| UPS | From Oct.22nd 2025 to Oct.24th 2025 |
| FedEx | From Oct.22nd 2025 to Oct.24th 2025 |
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Other items from this category:
Learn mathematical optimization and problem solving techniques in Python!
[Background of this book]
Today, mathematical optimization is used in a wide range of fields, such as optimizing production plans, creating work shift schedules, and planning efficient resource allocation. However, due to its theoretical depth and wide range of applications, beginning students often feel frustrated (excerpt from [Introduction]).
[Contents of this book]
Theory and details are kept to a minimum so that the reader can experience optimization while running Python code. In addition, the book is structured in such a way that the reader can check his/her understanding by solving simple confirmation questions. (Excerpt from [Introduction]).
[What is PyQ?
PyQ is an online Python learning service operated by B-Ploud Inc.
[Learning Environment]
Execution environment: PyQ or JupyterLab on PC
Language: Python 3.11
Libraries: mip (1.15.0), mip-tool (0.3.2), pandas (2.1.3), JupyterLab (4.0.9),
Matplotlib(3.8.2)
[Target Readers]
*Those who want to use mathematical optimization to solve problems in society and in their daily lives.
*Those who have studied mathematical optimization but failed to master it.
[Prerequisite knowledge]
*Knowledge of vectors in high school mathematics
*Knowledge of Python syntax
[Table of Contents]
Prologue Learning Python and Mathematical Optimization with PyQ
Chapter 0 How to Use This Book
Chapter 1 Problem Solving with Mathematical Optimization
Chapter 2: What is a Mathematical Model?
Chapter 3: Creating Mathematical Models in Python
Chapter 4: Many Variables are Vectors
Chapter 5 What is Mixed Integer Optimization?
Chapter 6: Python-MIP Classes
Chapter 7: How do you solve a problem?
Chapter 8: I want to reduce transportation costs.
Chapter 9: Make a menu that makes you want to eat more
Chapter 10: Sharing the Beverage
Chapter 11. I want to make a shift list
Chapter 12. Let's make a mathematical model with pandas
Chapter 13 Re-modeling with pandas
[Author's Profile]
*B-Ploud Corporation
*PyQ Team
*Tsutomu Saito
In charge of PyQ, etc. at B-Ploud Corporation.