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{ "item_title" : "Data Wrangling with Python", "item_author" : [" Jacqueline Kazil", "Katharine Jarmul "], "item_description" : "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 thats 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, youll learn how to acquire, clean, analyze, and present data efficiently. Youll 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 conceptsWork with both machine-readable and human-consumable dataScrape websites and APIs to find a bounty of useful informationClean and format data to eliminate duplicates and errors in your datasetsLearn when to standardize data and when to test and script data cleanupExplore and analyze your datasets with new Python libraries and techniquesUse Python solutions to automate your entire data-wrangling process", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/49/194/881/1491948817_b.jpg", "price_data" : { "retail_price" : "49.99", "online_price" : "49.99", "our_price" : "49.99", "club_price" : "49.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Wrangling with Python|Jacqueline Kazil
Data Wrangling with Python : Tips and Tools to Make Your Life Easier
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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 that 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, you ll learn how to acquire, clean, analyze, and present data efficiently. You 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 item is Non-Returnable

Details

  • ISBN-13: 9781491948811
  • ISBN-10: 1491948817
  • Publisher: O'Reilly Media
  • Publish Date: March 2016
  • Dimensions: 9.2 x 6.9 x 1.1 inches
  • Shipping Weight: 1.7 pounds
  • Page Count: 505

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