You're reading from The Data Wrangling Workshop - Second Edition

Product typeBook

Published inJul 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781839215001

Edition2nd Edition

Languages

Python

Tools

Jupyter

Concepts

Data Processing

Authors (3):

Brian Lipp

Shubhadeep Roychowdhury

Dr. Tirthajyoti Sarkar

View More author details

Introduction

So far in this book, we have focused on studying pandas DataFrame objects as the main data structure for the application of wrangling techniques. In this chapter, we will learn about various techniques by which we can read data into a DataFrame from external sources. Some of these sources could be text-based (such as CSV, HTML, and JSON), whereas others could be binary (that is, not in ASCII format; for example, from Excel or PDFs). We will also learn how to deal with data that is present in web pages or HTML documents.

Being able to deal with and extract meaningful data from various sources is of paramount interest to a data practitioner. Data can, and often does, come in various forms and flavors. It is essential to be able to get the data into a form that is useful for performing predictive or other kinds of downstream tasks.

As we have gone through detailed examples of basic operations with NumPy and pandas, in this chapter, we will often skip trivial code snippets...

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The Data Wrangling Workshop - Second Edition

Published in: Jul 2020Publisher: PacktISBN-13: 9781839215001

Authors (3)

Brian Lipp

Brian Lipp is a Technology Polyglot, Engineer, and Solution Architect with a wide skillset in many technology domains. His programming background has ranged from R, Python, and Scala, to Go and Rust development. He has worked on Big Data systems, Data Lakes, data warehouses, and backend software engineering. Brian earned a Master of Science, CSIS from Pace University in 2009. He is currently a Sr. Data Engineer working with large Tech firms to build Data Ecosystems.
Read more about Brian Lipp

Shubhadeep Roychowdhury

Shubhadeep Roychowdhury holds a master's degree in computer science from West Bengal University of Technology and certifications in machine learning from Stanford. He 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.
Read more about Shubhadeep Roychowdhury

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.
Read more about Dr. Tirthajyoti Sarkar

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You're reading from The Data Wrangling Workshop - Second Edition

Introduction

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