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Item #:
143833249
Python× Data Science: From Introduction to Practice Modern Science Digital Tankobon Hardcover – July 25, 2025
90% of respondents would recommend this to a friend
Item #:
143833249
MUR 1732
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What Stands Out
Comprehensive Coverage
This book offers a thorough introduction to Python in the context of data science, making it ideal for both beginners and experienced practitioners looking to enhance their skills.
Practical Applications
Emphasizing hands-on practice, the book includes real-world examples and exercises that enable readers to apply theoretical knowledge to practical scenarios in data science.
Modern Techniques
Stay updated with the latest trends in data science; the book incorporates contemporary tools and methodologies, ensuring readers are well-prepared for today's demands in the field.
Product Details
| Publisher | u8fd1u4ee3u79d1u5b66u793e |
| Publication date | July 25, 2025 |
| Language | Japanese |
| Print length | 264 pages |
| ISBN-10 | 4764907461 |
| ISBN-13 | 978-4764907461 |
| Item Weight | 540 g |
| Dimensions | 7.17 x 0.67 x 10.12 inches (18.2 x 1.7 x 25.7 cm) |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for beginners seeking a comprehensive guide to data science and Python programming fundamentals.
-
Students in STEM
Useful for students pursuing science, technology, engineering, or mathematics, enhancing their analytics skills through Python.
-
Professionals Transitioning Careers
Professionals looking to pivot into data science roles, needing practical applications and real-world examples in Python.
-
Advanced Data Scientists
Not suitable for experienced data scientists already proficient in Python and data science best practices.
Product Description
Python× Data Science: From Introduction to Practice Modern Science Digital Tankobon Hardcover – July 25, 2025
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池原 翔太 , 山本 芳人 , 宇井 隆晴 & 0 Editorial Review
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MUR 1732
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Features & Benefits
- Comprehensive introduction to Python and data science.
- Systematic approach to data preprocessing essentials.
- Progress from basic concepts to practical data analysis skills.
- Empowers readers to perform independent data analysis.
- Ideal for beginners looking to enter the field of data science.
- Helps in applying data science skills to any theme or project.
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