Description: Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the Jupyter notebook and IPython shell for exploratory computing Learn basic and advanced features in NumPy Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples Shipping We offer FREE shipping on specialized orders! We ship within Three business days of payment, usually sooner. We use a selection of shipping services such as UPS, FedEx, USPS etc. We only ship to the lower 48 states, no APO/FPO addresses or PO Boxes allowed. Local pickups and combined shipping options are not provided at this time. Return You can return a product for up to 30 days from the date you purchased it. Any product you return must be in the same condition you received it and in the original packaging. Please keep the receipt. Payment We accept payment by any of the following methods:PayPalPlease pay as soon as possible after winning an auction, as that will allow us to post your item to you sooner!Credit/Debit CardPlease pay within 2 days of buying now, as it makes it easier to ship as fast as possible to you! Feedback Customer satisfaction is very important to us. If you have any problem with your order, please contact us and we will do our best to make you satisfied. Contact Us If you have any queries, please contact us via ebay. We usually respond within 24 hours on weekdays. Please visit our eBay store to check out other items for sale! Thank you for shopping at our store.
Price: 64.44 USD
Location: San Gabriel, California
End Time: 2024-10-01T23:32:46.000Z
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EAN: 9781098104030
ISBN: 9781098104030
Package Dimensions LxWxH: 9.29x7.01x1.06 Inches
Weight: 1.76 Pounds
MPN: Does not apply
Model: Does not apply
Brand: None
Item Length: 9.2in
Item Height: 1.2in
Item Width: 6.9in
Author: Wes Mckinney
Publication Name: Python for Data Analysis : Data Wrangling with Pandas, Numpy, and Jupyter
Format: Trade Paperback
Language: English
Publisher: O'reilly, Incorporated
Publication Year: 2022
Type: Textbook
Item Weight: 34.7 Oz
Number of Pages: 579 Pages