Description: Python for Data Analysis Data Wrangling with Pandas NumPy and Jupyter by Wes Product InformationGet 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 examplesImport Duty and Taxes As a Seller, we are unable to anticipate import duties or taxes for buyer country in advance. Our selling price does not include them. So, it is buyers responsibility. Payment We accept payment by Payoneer. Shipping Your order will be shipped within 3-4 business days of receiving payment. In the very unlikely event that your item is lost or damaged during post, then We are responsible and will issue either a full refund or replacement. NOTE: - IMAGES ARE FOR ILLUSTRATIONS ONLY. THE COMPANY MAY CHANGE ITEM DESIGN / PATTERN / PACKAGING FROM TIME TO TIME. WE WILL SHIP THE LATEST STOCK AVAILABLE WITH US. Returns If our product condition is not correct, you can return the product and get a full refund or exchange the product for another one, You can return a product for up to 30 days from the date you purchased it minus shipping and other fees. Feedback Your feedback is important for us. Please contact us if you have any problem with this product, we will solve that problem because we will always be happy to help you. Please Contact me Before open a case or negative feedback. Please don't open a case or leave a negative feedback. Thank you We can't buy happiness, but We can buy something for happiness.
Price: 35.45 USD
Location: DELHI, DELHI
End Time: 2024-09-20T14:31:48.000Z
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Restocking Fee: No
Return shipping will be paid by: Seller
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Publication Year: 2022
Type: Textbook
Format: Trade Paperback
Subject Area: Data Analysis
Language: English
Publication Name: Python for Data Analysis
Author: Wes Mckinney
Publisher: O'reilly Media, Incorporated