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You're reading from  Big Data Analysis with Python

Product typeBook
Published inApr 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789955286
Edition1st Edition
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Authors (3):
Ivan Marin
Ivan Marin
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Ivan Marin

Ivan Marin is a systems architect and data scientist working at Daitan Group, a Campinas-based software company. He designs big data systems for large volumes of data and implements machine learning pipelines end to end using Python and Spark. He is also an active organizer of data science, machine learning, and Python in So Paulo, and has given Python for data science courses at university level.
Read more about Ivan Marin

Ankit Shukla
Ankit Shukla
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Ankit Shukla

Ankit Shukla is a data scientist working with World Wide Technology, a leading US-based technology solution provider, where he develops and deploys machine learning and artificial intelligence solutions to solve business problems and create actual dollar value for clients. He is also part of the company's R&D initiative, which is responsible for producing intellectual property, building capabilities in new areas, and publishing cutting-edge research in corporate white papers. Besides tinkering with AI/ML models, he likes to read and is a big-time foodie.
Read more about Ankit Shukla

Sarang VK
Sarang VK
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Sarang VK

Sarang VK is a lead data scientist at StraitsBridge Advisors, where his responsibilities include requirement gathering, solutioning, development, and productization of scalable machine learning, artificial intelligence, and analytical solutions using open source technologies. Alongside this, he supports pre-sales and competency.
Read more about Sarang VK

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Introduction


The Python data science stack is an informal name for a set of libraries used together to tackle data science problems. There is no consensus on which libraries are part of this list; it usually depends on the data scientist and the problem to be solved. We will present the libraries most commonly used together and explain how they can be used.

In this chapter, we will learn how to manipulate tabular data with the Python data science stack. The Python data science stack is the first stepping stone to manipulate large datasets, although these libraries are not commonly used for big data themselves. The ideas and the methods that are used here will be very helpful when we get to large datasets.

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Authors (3)

author image
Ivan Marin

Ivan Marin is a systems architect and data scientist working at Daitan Group, a Campinas-based software company. He designs big data systems for large volumes of data and implements machine learning pipelines end to end using Python and Spark. He is also an active organizer of data science, machine learning, and Python in So Paulo, and has given Python for data science courses at university level.
Read more about Ivan Marin

author image
Ankit Shukla

Ankit Shukla is a data scientist working with World Wide Technology, a leading US-based technology solution provider, where he develops and deploys machine learning and artificial intelligence solutions to solve business problems and create actual dollar value for clients. He is also part of the company's R&D initiative, which is responsible for producing intellectual property, building capabilities in new areas, and publishing cutting-edge research in corporate white papers. Besides tinkering with AI/ML models, he likes to read and is a big-time foodie.
Read more about Ankit Shukla

author image
Sarang VK

Sarang VK is a lead data scientist at StraitsBridge Advisors, where his responsibilities include requirement gathering, solutioning, development, and productization of scalable machine learning, artificial intelligence, and analytical solutions using open source technologies. Alongside this, he supports pre-sales and competency.
Read more about Sarang VK