Data Wrangling with Python

Data is the new oil but it comes as crude, just like oil. To do anything meaningful - modeling, visualization, machine learning, for predictive analysis – you first need to wrestle and wrangle with data. This book teaches the essential basics of data wrangling using Python.
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Data Wrangling with Python

Tirthajyoti Sarkar, Shubhadeep Roychowdhury

Data is the new oil but it comes as crude, just like oil. To do anything meaningful - modeling, visualization, machine learning, for predictive analysis – you first need to wrestle and wrangle with data. This book teaches the essential basics of data wrangling using Python.
This title is available to pre-order now and is expected to be published in
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Book Details

ISBN 139781789800111
Paperback460 pages

Book Description

To practice high-quality science with data, first you need to make sure it is properly sourced, cleaned, formatted, and pre-processed. This book teaches you the most essential basics of this invaluable component of the data science pipeline – data wrangling.

Table of Contents

What You Will Learn

  • Able to manipulate complex and simple data structure using Python and it’s built-in functions
  • Use the fundamental and advanced level of Pandas DataFrames and numpy.array
  • Manipulate them at run time
  • Extract and format data from various formats (textual) – normal text file, SQL, CSV, Excel, JSON, and XML
  • Perform web scraping using Python libraries such as BeautifulSoup4 and html5lib
  • Perform advanced string search and manipulation using Python and RegEX
  • Handle outliers, apply advanced programming tricks, and perform data imputation using Pandas
  • Basic descriptive statistics and plotting techniques in Python for quick examination of data
  • Practice data wrangling and modeling using the random data generation techniques

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Table of Contents

Book Details

ISBN 139781789800111
Paperback460 pages
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