Python 実践データ分析100本ノック 第3版
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MYR 129
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Maklumat produk
| Publisher | u79c0u548cu30b7u30b9u30c6u30e0u65b0u793e |
| Publication date | October 10, 2025 |
| Edition | Third |
| Language | Japanese |
| Print length | 352 pages |
| ISBN-10 | 4798075663 |
| ISBN-13 | 978-4798075662 |
| Item Weight | 440 g |
| Dimensions | 5.83 x 0.87 x 8.27 inches (14.8 x 2.2 x 21 cm) |
Who Should Buy?
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Data Science Beginners
Those new to data analysis will benefit from structured exercises that build foundational skills effectively.
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Python Practitioners
Individuals with basic Python knowledge looking to deepen their understanding of data analysis and visualization techniques.
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Educators and Trainers
Teachers seeking comprehensive materials for data analysis courses can find valuable resources and examples in this book.
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Advanced Analysts
Experienced data analysts may find the content too basic, lacking the complexity they require for advanced projects.
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Python 実践データ分析100本ノック 第3版
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下山輝昌 , 松田雄馬 Editorial Review
Python 実践データ分析100本ノック 第3版 is an essential guide for anyone looking to enhance their data analysis skills with Python. This third edition, published by 幸和システム新社, covers a comprehensive array of practical challenges designed to sharpen your analytical abilities across 352 pages. Readers appreciate that it combines a hands-on approach with a solid foundation in data analysis principles, making it suitable for both beginners and seasoned practitioners. The book’s format allows learners to tackle 100 practical tasks, which many reviews have highlighted as an effective method for mastering Python data analysis tactically. Furthermore, the publication date in October 2025 positions it as a current resource in the rapidly evolving world of data science, ensuring users are learning relevant techniques.
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Kongsikan pandangan anda dengan pelanggan lain
Kebaikan
- Hands-on approach with practical challenges
- Comprehensive coverage of data analysis techniques
- Suitable for both beginners and advanced users
- Current resource in the evolving data science field
- Well-structured for efficient learning
Keburukan
- Might seem dense for absolute beginners
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MYR 129
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