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87941841
Introduction to data analysis using Python 3rd edition ―data processing using pandas, NumPy, Jupyter Tankobon Softcover – August 12, 2023
90% of respondents would recommend this to a friend
Item #:
87941841
XAF 25907
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This book covers the basics of data analysis by Wes McKinney, the developer of pandas, Python's leading data analysis tool.
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What Stands Out
Comprehensive Coverage
This edition thoroughly covers data analysis concepts using Python, making it ideal for both beginners and experienced users seeking to enhance their skills in data processing.
Hands-On Approach
Utilizes Jupyter notebooks for practical examples, allowing readers to gain hands-on experience and actively engage with data processing techniques using pandas and NumPy.
Updated Content
Released in 2023, this edition includes the latest features and best practices in Python data analysis, ensuring readers are equipped with up-to-date knowledge in the rapidly evolving field.
Product Details
| Publisher | u30aau30e9u30a4u30eau30fcu30fbu30b8u30e3u30d1u30f3 |
| Publication date | August 12, 2023 |
| Language | Japanese |
| Print length | 612 pages |
| ISBN-10 | 4814400195 |
| ISBN-13 | 978-4814400195 |
| Item Weight | 1 g |
| Dimensions | 9.45 x 7.48 x 1.38 inches (24 x 19 x 3.5 cm) |
Product Description
Introduction to data analysis using Python 3rd edition ―data processing using pandas, NumPy, Jupyter Tankobon Softcover – August 12, 2023
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Customer Questions & Answers
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Is this book suitable for beginners?
Answer: Yes, it covers the basics of data analysis, making it accessible to beginners. -
Question:
Can I run the sample code without any additional software?
Answer: You will need to use Jupyter Notebook to run the downloadable sample code. -
Question:
What is the significance of pandas 2.0 in this edition?
Answer: The revised edition is fully compatible with pandas 2.0, incorporating its latest features and improvements.
Wes McKinney , 小林 儀匡 (Translator) Editorial Review
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Pros
- Clear explanations and examples
- Comprehensive coverage of tools
- Hands-on exercises included
- User-friendly for beginners
- Up-to-date with latest practices
Cons
- Some sections may feel lengthy.
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Features & Benefits
- Learn data analysis with the revised 3rd edition of the book.
- Features contributions from Wes McKinney, creator of the pandas library.
- Downloadable sample code for practical, hands-on learning.
- Compatible with Jupyter Notebook for interactive experience.
- Includes essential libraries: NumPy, SciPy, pandas, and Matplotlib.
- Perfect for applications in science, finance, and machine learning.
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