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Product Description
Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter 3rd Edition | Wes McKinney | 978-1098104030 | Paperback
Python for Data Analysis, 3rd Edition by Wes McKinney — the creator of pandas — is the definitive guide to data wrangling with Python. Updated for Python 3.10 and pandas 1.4, this practical book covers data loading, cleaning, transformation, aggregation, and time series analysis with real-world examples throughout. Available now at Nybookshub — your trusted international bookstore — in authentic Paperback format with fast US, shipping.
About This Book
Python for Data Analysis 3rd Edition Wes McKinney by Wes McKinney is published by O'Reilly Media. This 3rd Edition Paperback edition (ISBN: 978-1098104030) contains 550 pages of comprehensive, authoritative content in the field of Computer Science & Programming. Whether you are a student, practitioner, researcher, or professional, this book is an indispensable addition to your library.
Product Details
- Title: Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter 3rd Edition
- Author(s): Wes McKinney
- Publisher: O'Reilly Media
- Edition: 3rd Edition
- Format / Binding: Paperback
- ISBN-13: 978-1098104030
- Pages: 550
- Subject: Computer Science & Programming
- Language: English
- Sold by: Nybookshub
What You Will Learn
- pandas DataFrame operations: indexing, slicing, merging, and reshaping data
- Data cleaning techniques for handling missing values and outliers
- NumPy arrays and vectorised operations for numerical computing
- Time series analysis and resampling with pandas
- Data visualisation integration with Matplotlib and Seaborn
About the Author
Wes McKinney is the creator of the pandas library and a pioneer of the Python data science ecosystem. He previously worked at Two Sigma Investments and AQR Capital Management, and has been instrumental in making Python the leading language for data analysis.
Why Buy from Nybookshub?
- ? 100% Authentic, Publisher-Original Edition — every copy is genuine O'Reilly Media stock
- ? Fast USShipping — tracked delivery to your door
- ? Best Price Guarantee — competitive pricing with no hidden fees
- ? Curated Academic & Professional Collection — thousands of titles across all disciplines
- ? Dedicated Customer Support — expert help before, during, and after your order
Frequently Asked Questions
Is this the original/genuine edition of Python for Data Analysis 3rd Edition Wes McKinney?
Yes. Nybookshub sells only 100% authentic, publisher-original editions. Your copy of Python for Data Analysis 3rd Edition Wes McKinney by Wes McKinney will be a genuine Paperback edition exactly as published by O'Reilly Media — not a reprint, photocopy, or unauthorised reproduction.
Who is the author of Python for Data Analysis 3rd Edition Wes McKinney?
Wes McKinney is the creator of the pandas library and a pioneer of the Python data science ecosystem. He previously worked at Two Sigma Investments and AQR Capital Management, and has been instrumental in making Python the leading language for data analysis.
What edition and format is this listing?
This listing is for the 3rd Edition in Paperback format (ISBN: 978-1098104030), comprising 550 pages. Please confirm this edition matches your course or professional requirement before ordering.
Does Nybookshub ship internationally?
Yes. Nybookshub ships Python for Data Analysis 3rd Edition Wes McKinney — Standard and expedited shipping options are available at checkout with full tracking provided.
How long does delivery take?
Dispatch is typically within 1–2 business days. International deliveries generally arrive within 7–21 business days depending on your country and chosen shipping method. Tracking information is provided with every order.
Can I use this book for university or professional certification?
Python for Data Analysis 3rd Edition Wes McKinney is widely adopted in universities, professional certification programmes, and continuing education curricula across Computer Science & Programming. Always verify with your institution that this edition number matches the prescribed text.
What is Nybookshub's return and replacement policy?
If you receive a damaged, defective, or incorrect item, contact Nybookshub customer support within 7 days of delivery. We will arrange a replacement or resolution promptly to ensure your complete satisfaction.
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