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

Product typeBook
Published inJul 2020
Reading LevelIntermediate
PublisherPackt
ISBN-139781839215001
Edition2nd Edition
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Authors (3):
Brian Lipp
Brian Lipp
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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
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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
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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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Summary

We have come to the end of the database chapter. We have learned how to connect to SQLite using Python. We have brushed up on the basics of relational databases and how to open and close a database. We then learned how to export this relational database into Python DataFrames.

In the next chapter, we will be performing data wrangling on datasets that are used in business use cases. We will use different types of datasets and then clean and process the data in a meaningful way. We will be able to apply all the skills and tricks we have learned so far in this book to process data and get valuable insights from them.

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The Data Wrangling Workshop - Second Edition
Published in: Jul 2020Publisher: PacktISBN-13: 9781839215001

Authors (3)

author image
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

author image
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

author image
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