Data-Driven Supply Chains and Intro to Python

Kurt Y. Liu

doi:10.1007/978-3-030-92224-5_2

Data-Driven Supply Chains and Intro to Python

Kurt Y. Liu

Engineering Systems & Supply Chain Management

Research output: Chapter in Book/Published conference output › Chapter

Abstract

In this chapter, first we introduce the importance of data in supply chain management and various data sources and Information Systems (IS) in supply chains. We also discuss the concept of big data and related examples of supply chain analytics. In the second part of this chapter, we start to introduce Python, its installation, and essential Python libraries.

Original language	English
Title of host publication	Supply Chain Analytics Concepts, Techniques and Applications
Publisher	Palgrave Macmillan
Chapter	2
Pages	21-43
Edition	1st
ISBN (Electronic)	9783030922245
ISBN (Print)	9783030922238
DOIs	https://doi.org/10.1007/978-3-030-92224-5_2
Publication status	Published - 8 Apr 2022

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10.1007/978-3-030-92224-5_2

Cite this

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title = "Data-Driven Supply Chains and Intro to Python",

abstract = "In this chapter, first we introduce the importance of data in supply chain management and various data sources and Information Systems (IS) in supply chains. We also discuss the concept of big data and related examples of supply chain analytics. In the second part of this chapter, we start to introduce Python, its installation, and essential Python libraries.",

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AB - In this chapter, first we introduce the importance of data in supply chain management and various data sources and Information Systems (IS) in supply chains. We also discuss the concept of big data and related examples of supply chain analytics. In the second part of this chapter, we start to introduce Python, its installation, and essential Python libraries.

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Data-Driven Supply Chains and Intro to Python

Abstract

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Supply Chain Analytics: Concepts, Techniques and Applications

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