Pre-Owned Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython (Paperback) 1491957662 9781491957660

Name: Pre-Owned Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython (Paperback) 1491957662 9781491957660
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Pre-Owned Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython (Paperback) 1491957662 9781491957660 Python for Data Analysis 2e Data Wrangling with Pandas NumPy and IPython Paperback 9781491957660 by Wes McKinney

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Title: Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython
Book Format: Paperback
ISBN10: 1491957662
EAN: 9781491957660
Genre: COMPUTERS / Databases / Data Mining
Author: McKinney, Wes
Pre-Owned Condition- Pages can include limited notes and highlighting, and the copy can include 'From the library of' labels or previous owner inscriptions. Accessories such as CD, codes, toys, may not be included.

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Book format
Paperback
Fiction/nonfiction
Non-Fiction
Genre
Computing & Internet
Publication date
November, 2017
Pages
550
Reading level
Grade 2

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Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second 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, IPython, 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 IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) 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

Title: Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython
Book Format: Paperback
ISBN10: 1491957662
EAN: 9781491957660
Genre: COMPUTERS / Databases / Data Mining
Author: McKinney, Wes
Pre-Owned Condition- Pages can include limited notes and highlighting, and the copy can include 'From the library of' labels or previous owner inscriptions. Accessories such as CD, codes, toys, may not be included.

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Has been read and shows minimal signs of wear like an owner's inscription or foxing, but no tearing and all pages are present.

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Pre-Owned: Good

A well-cared-for item that has seen limited use but remains in great condition. Item and instructions are complete and included.

What is the Walmart Pre-Owned Program?

See here for additional details & specific condition qualifications.

Why Walmart Pre-Owned?

Trusted sellers & quality items

Each Pre-Owned item listed comes from Walmart’s trusted performance-managed sellers, to ensure you get quality items.

Quality you can afford

Save even more on top brands & your most-loved items.

30-day free returns

Don’t love it? Most items offer a 30-day* free return policy, for added peace of mind.

Sustainability

Shopping Pre-Owned helps in extending the life of an item & reducing waste.

Specifications

Book format

Paperback

Fiction/nonfiction

Non-Fiction

Genre

Computing & Internet

Publication date

November, 2017

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