Data Wrangling with Python (Tips and Tools to Make Your Life Easier)

ISBN: 9781491948811
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Overview

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information thatā€™s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started.

Through various step-by-step exercises, youā€™ll learn how to acquire, clean, analyze, and present data efficiently. Youā€™ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain.

  • Quickly learn basic Python syntax, data types, and language concepts
  • Work with both machine-readable and human-consumable data
  • Scrape websites and APIs to find a bounty of useful information
  • Clean and format data to eliminate duplicates and errors in your datasets
  • Learn when to standardize data and when to test and script data cleanup
  • Explore and analyze your datasets with new Python libraries and techniques
  • Use Python solutions to automate your entire data-wrangling process

This book title, Data Wrangling with Python (Tips and Tools to Make Your Life Easier), ISBN: 9781491948811, by Jacqueline Kazil, Katharine Jarmul, published by O'Reilly Media (March 1, 2016) is available in paperback. Our minimum order quantity is 25 copies. All standard bulk book orders ship FREE in the continental USA and delivered in 4-10 business days.

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Product Details

Author:
Jacqueline Kazil, Katharine Jarmul
Format:
Paperback
Pages:
505
Publisher:
O'Reilly Media (March 1, 2016)
Language:
English
ISBN-13:
9781491948811
ISBN-10:
1491948817
Dimensions:
7" x 9.19"
File:
TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20240124155707-20240124.xml
Folder:
TWO RIVERS
List Price:
$49.99
As low as:
$44.99
Publisher Identifier:
P-PER
Discount Code:
H
Case Pack:
20
Country of Origin:
United States

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