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

Summary

In this chapter, we learned about data wrangling and looked at examples from various real-life data science situations where data wrangling is very useful. We moved on to learn about the different built-in data structures that Python has to offer. We got our hands dirty by exploring lists, sets, dictionaries, tuples, and strings. These are the fundamental building blocks of Python data structures, and we need them all the time when working and manipulating data in Python. We did several small hands-on exercises to learn more about them. We finished this chapter with carefully designed activities that let us combine a lot of different tricks from all the different data structures and let us observe the interplay between all of them. In the next chapter, we will learn about the data structures in Python and utilize them to solve problems.

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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

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