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

Dr. Tirthajyoti Sarkar, Shubhadeep Roychowdhury

February 2019

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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.

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

Authors

Dr. Tirthajyoti Sarkar

Dr. Tirthajyoti Sarkar works as a senior principal engineer in the semiconductor technology domain, where he applies cutting-edge data science/machine learning techniques for design automation and predictive analytics. He writes regularly about Python programming and data science topics. He holds a Ph.D. from the University of Illinois and certifications in artificial intelligence and machine learning from Stanford and MIT.

Shubhadeep Roychowdhury

Shubhadeep Roychowdhury works as a senior software engineer at a Paris-based cybersecurity startup, where he is applying state-of-the-art computer vision and data engineering algorithms and tools to develop cutting-edge products. He often writes about algorithm implementation in Python and similar topics. He holds a master’s degree in computer science from West Bengal University Of Technology and certifications in machine learning from Stanford.