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Item #:
245811838
Pandas for Everyone: Python Data Analysis (Addison-Wesley Data & Analytics Series)
Item #:
245811838
USD 41
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Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you’re new to Python data analysis
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Product Details
- An example-rich introduction to Pandas data analysis in Python
- Allows automation of data analysis tasks regardless of size or complexity
- Covers data cleaning, manipulation, reshaping, and filtering
- Provides guidance on fitting models, clustering, and exploration
- Includes tips on performance, scalability, and using other Python data analysis tools
- Updated second edition available with code and library updates to Python 3.9
| Publisher | Addison-Wesley Professional |
| Publication date | December 26, 2017 |
| Edition | 1st |
| Language | English |
| Print length | 416 pages |
| ISBN-10 | 0134546938 |
| ISBN-13 | 978-0134546933 |
| Item Weight | 1.5 pounds (680 grams) |
| Dimensions | 7.01 x 0.93 x 9.13 inches (17.8 x 2.4 x 23.2 cm) |
| Part of series | Addison-Wesley Data & Analytics |
Product Description
Pandas for Everyone: Python Data Analysis (Addison-Wesley Data & Analytics Series)
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Customer Questions & Answers
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Question:
What is 'Pandas for Everyone' all about?
Answer: 'Pandas for Everyone' is a comprehensive guide focused on the Pandas library, essential for data analysis in Python. The book teaches readers how to manipulate, analyze, and visualize data using real-world examples. It's ideal for beginners and intermediate users, providing clear explanations of key concepts, making it easier to apply them directly to data-related projects. -
Question:
Who is the target audience for this book?
Answer: The book is primarily aimed at students, data analysts, and professionals interested in data science. It is structured to help newcomers grasp the basics of the Pandas library while also providing insights that seasoned analysts can benefit from. Learning through practical exercises and examples enhances the understanding of data manipulation and analysis. -
Question:
What topics are covered in 'Pandas for Everyone'?
Answer: 'Pandas for Everyone' covers a wide range of topics, including data structures in Pandas, data cleaning, exploratory data analysis, and data visualization techniques. Readers will learn how to work with time series data and how to apply various statistical techniques directly in their data projects, giving them a thorough understanding of data handling in Python. -
Question:
Is prior programming experience necessary to understand this book?
Answer: While some familiarity with Python can be helpful, 'Pandas for Everyone' does not assume advanced programming knowledge. The book introduces Python concepts alongside Pandas, allowing readers to learn data analysis in an accessible manner. Newcomers can start with basic examples and gradually progress to more complex applications. -
Question:
What are the practical applications of the skills learned?
Answer: The skills acquired from 'Pandas for Everyone' can be applied across various domains like finance, healthcare, and marketing. For instance, users can analyze sales data to identify trends, assess patient data for research, or evaluate marketing outcomes. The hands-on approach helps readers turn theoretical knowledge into practical skills for real-world applications. -
Question:
Does the book include exercises or examples for practice?
Answer: Yes, 'Pandas for Everyone' contains numerous hands-on exercises and examples throughout the chapters. These practice scenarios are designed to reinforce the material covered. Such interactive content helps readers apply what they’ve learned, ensuring that they can confidently use the Pandas library for their projects. -
Question:
How does this book compare to other data analysis books?
Answer: 'Pandas for Everyone' stands out due to its focus on practical applications and clear explanation of concepts. Unlike many other technical books, this one emphasizes understanding through examples that relate to common data analysis tasks. This makes it not only informative but also relevant for data analysts looking for actionable insights. -
Question:
What are the prerequisites for using Pandas effectively?
Answer: To effectively use Pandas, readers should have a basic understanding of Python programming. Familiarity with data manipulation and analysis concepts is also beneficial. 'Pandas for Everyone' gradually introduces these prerequisites in context, allowing readers to learn as they practice, making it suitable for a wide range of skill levels. -
Question:
Can I find 'Pandas for Everyone' in my country?
Answer: Yes, you can buy 'Pandas for Everyone: Python Data Analysis' from Ubuy in Zimbabwe. Ubuy is a reliable platform that offers a diverse range of books, including technical literature. They provide convenient access for users looking to enhance their data analysis skills. -
Question:
Is there a digital version of this book available?
Answer: 'Pandas for Everyone' is available in both print and digital formats. The digital version can be particularly useful for those who prefer reading on devices or need to access the book on the go. The eBook format allows users to easily search for topics or keywords, making it convenient for quick references during projects.
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Features & Benefits
- Learn how to use the open source Pandas library for Python data analysis
- Solve real-world problems incrementally with practical examples
- Clean and transform datasets for effective decision-making
- Fit models for prediction, inference, and exploration
- Improve performance and scalability with advanced techniques
- Compare and select the best models for your data
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