Title
Pandas For Everyone: Python Data Analysis (Addisonwesley Data & Analytics Series),Used
Delivery time: 8-12 business days (International)
Pandas For Everyone: Python Data Analysis (Addisonwesley Data & Analytics Series)
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is the main topic covered in 'Pandas for Everyone'? A: 'Pandas for Everyone' focuses on data analysis using the Pandas library in Python, providing a hands-on, example-rich introduction to help readers manage and analyze complex datasets.
- Q: Who is the author of 'Pandas for Everyone'? A: The book is authored by Daniel Y. Chen, who presents key concepts and practical examples for using Pandas effectively.
- Q: Is this book suitable for beginners in Python data analysis? A: Yes, 'Pandas for Everyone' is designed for beginners and introduces essential concepts incrementally, making it accessible for those new to Python and data analysis.
- Q: What kind of data analysis techniques are taught in this book? A: 'Pandas for Everyone' covers various techniques including data cleaning, visualization, handling missing data, and fitting models for prediction and clustering.
- Q: Does the book include examples and practical exercises? A: Yes, the book includes a variety of practical examples and exercises that help readers apply the concepts learned in real-world scenarios.
- Q: How many pages does 'Pandas for Everyone' have? A: 'Pandas for Everyone' has a total of 416 pages, providing comprehensive coverage of the subject matter.
- Q: What is the publication date of 'Pandas for Everyone'? A: 'Pandas for Everyone' was published on December 26, 2017, with a release date of January 5, 2018.
- Q: What is the binding type of this book? A: 'Pandas for Everyone' is available in paperback binding, making it easy to handle and read.
- Q: Can this book help with data visualization? A: Yes, the book provides guidance on creating plots using libraries like matplotlib and seaborn, helping readers visualize their data effectively.
- Q: What advanced topics are covered in 'Pandas for Everyone'? A: Advanced topics include clustering in unsupervised machine learning, fitting linear models using statsmodels and scikit-learn, and techniques to improve model performance and scalability.