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88144151
Pythonではじめるマテリアルズインフォマティクス 近代科学社Digital
87% of respondents would recommend this to a friend
Item #:
88144151
SLE 795
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Master the art of materials informatics with Python, from theory to hands-on practice.
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What Stands Out
Comprehensive Python Guide
Thoroughly covers Python applications in materials informatics, making complex concepts accessible to researchers and scientists, thus enhancing their ability to innovate in material science.
Modern Science Approach
Integrates cutting-edge research and techniques, positioning readers at the forefront of materials science, ensuring relevance and application in real-world scenarios to solve contemporary scientific challenges.
Digital Tankobon Format
The hardcover edition provides durable and high-quality printing, ideal for academic environments, offering a long-lasting reference tool for students, professionals, and educators in materials science.
Product Details
- 本書はPythonを使ったマテリアルズインフォマティクスの方法を習得するため、1.scikit-learnの使い方を学ぶ、2.プログラミングによるデータ解析手法を知る、3.帰納法の考え方に慣れる、という三つの目的から構成されています。データ解析学で用いるアルゴリズムは各データを記述する変数の数が等しい(等長説明変数)と仮定しているため、マテリアルズインフォマティクスの世界では苦戦する場面が少なくありません。そこで物質ごとに収集できる変数の数が異なる(非等長説明変数)場合のデータ解析の仕方を紹介しており、基礎から実践までをじっくりと理解できる内容となっています。
| Publisher | u8fd1u4ee3u79d1u5b66u793e |
| Publication date | February 16, 2024 |
| Edition | Cover included |
| Language | Japanese |
| Print length | 194 pages |
| ISBN-10 | 4764906848 |
| ISBN-13 | 978-4764906846 |
| Item Weight | 1 g |
| Dimensions | 7.17 x 0.51 x 10.12 inches (18.2 x 1.3 x 25.7 cm) |
Who Should Buy?
-
Materials Scientists
Ideal for materials scientists wanting to utilize Python for data analysis and materials informatics applications effectively.
-
Data Analysts
Perfect for data analysts interested in expanding their skills to material science applications through Python programming.
-
Students and Researchers
Beneficial for students and researchers looking to understand how materials informatics and computational methods integrate through Python.
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Beginners in Python
Not suitable for beginners in Python, as prior programming knowledge may be necessary to grasp complex concepts.
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木野 日織 Organic Editorial Review
Pythonではじめるマテリアルズインフォマティクス offers a comprehensive introduction to materials informatics, published by 近代科学社 on February 16, 2024. This 194-page book, printed in Japanese, covers essential programming concepts specific to materials science. Readers will appreciate its clear guidance on applying Python for their research or studies. The inclusion of practical examples enhances the learning experience, making it accessible for both beginners and experienced professionals in the field. Users have noted the clarity of explanations and the practical applications demonstrated throughout the text, which solidifies their understanding of the subject matter.
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Pros
- In-depth introduction to materials informatics
- Practical applications using Python programming
- Well-structured for beginners and professionals
- Clear and concise explanations provided
- High-quality publication by a reputable publisher
Cons
- Limited to Japanese language readers
Product Price History
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SLE 795
Order now and get it around Tuesday, October 13
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Features & Benefits
- Learn to use scikit-learn for effective data analysis.
- Understand various data analysis methods in programming.
- Get accustomed to the concept of induction in data analysis.
- Explore challenges in materials informatics with non-isometric explanatory variables.
- Gain comprehensive knowledge from foundational concepts to practical applications.
- Perfect for both beginners and those looking to enhance their programming skills.
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