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The Data Wrangling Workshop - Second Edition

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

Product type Book
Published in Jul 2020
Publisher Packt
ISBN-13 9781839215001
Pages 576 pages
Edition 2nd Edition
Languages
Concepts
Authors (3):
Brian Lipp Brian Lipp
Profile icon Brian Lipp
LinkedIn
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.
See other products by Brian Lipp
Shubhadeep Roychowdhury Shubhadeep Roychowdhury
Profile icon Shubhadeep Roychowdhury
LinkedIn
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.
See other products by Shubhadeep Roychowdhury
Dr. Tirthajyoti Sarkar Dr. Tirthajyoti Sarkar
Profile icon Dr. Tirthajyoti Sarkar
LinkedIn
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.
See other products by Dr. Tirthajyoti Sarkar
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Table of Contents (11) Chapters

Preface
1. Introduction to Data Wrangling with Python 2. Advanced Operations on Built-In Data Structures 3. Introduction to NumPy, Pandas, and Matplotlib 4. A Deep Dive into Data Wrangling with Python 5. Getting Comfortable with Different Kinds of Data Sources 6. Learning the Hidden Secrets of Data Wrangling 7. Advanced Web Scraping and Data Gathering 8. RDBMS and SQL 9. Applications in Business Use Cases and Conclusion of the Course Appendix

5. Getting Comfortable with Different Kinds of Data Sources

Overview

This chapter will provide you with the skills to read CSV, Excel, and JSON files into pandas DataFrames. You will learn how to read PDF documents and HTML tables into pandas DataFrames and perform basic web scraping operations using powerful yet easy-to-use libraries such as Beautiful Soup. You will also see how to extract structured and textual information from portals. By the end of this chapter, you will be able to implement data wrangling techniques such as web scraping in the real world.

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Authors (3)

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Profile icon Brian Lipp
LinkedIn
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.
See other products by Brian Lipp
Profile icon Shubhadeep Roychowdhury
LinkedIn
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.
See other products by Shubhadeep Roychowdhury
Profile icon Dr. Tirthajyoti Sarkar
LinkedIn
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.
See other products by Dr. Tirthajyoti Sarkar
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