menu

Data Wrangling with Python : Tips and Tools to Make Your Life Easier
by Jacqueline Kazil and Katharine Jarmul




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

  Read Full Product Description
 
local_shippingFor Delivery
In Stock.
This item is Non-Returnable.
FREE Shipping for Club Members help
 
storeBuy Online Pickup At Store
search store by zipcode

 
 
New & Used Marketplace 15 copies from $11.99
 
 
 

More About Data Wrangling with Python by Jacqueline Kazil; Katharine Jarmul

 
 
 

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
  • Page Count: 508
  • Dimensions: 9.2 x 6.9 x 1.1 inches
  • Shipping Weight: 1.7 pounds


Related Categories

 

BAM Customer Reviews