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EBSCO_on1162587902 |
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|a UAMI
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|a Griffel, Mattan,
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|a Python for MBAs /
|c Mattan Griffel and Daniel Guetta
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|a New York :
|b Columbia University Press,
|c [2021]
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|a 1 online resource :
|b illustrations
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|a text
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|a computer
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|a Description based on online resource; title from digital title page (viewed on December 1, 2022).
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|a Includes bibliographical references and index.
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520 |
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|a "From the ads that track us to the maps that guide us, the twenty-first century runs on code. The business world is no different. Programming has become one of the fastest-growing topics at business schools around the world. An increasing number of MBAs are choosing to pursue careers in tech. For them and other professionals, having some basic coding knowledge is a must. This book is an introduction to programming with Python for MBA students and others in business positions who need a crash course. One of the most popular programming languages, Python is used for tasks such as building and running websites, data analysis, machine learning, and natural-language processing. Drawing on years of experience providing instruction in this material at Columbia Business School as well as extensive backgrounds in technology, entrepreneurship, and consulting, Mattan Griffel and Daniel Guetta teach the basics of programming from scratch. Beginning with fundamentals such as variables, strings, lists, and functions, they build up to data analytics and practical ways to derive value from large and complex datasets. They focus on business use cases throughout, using the real-world example of a major restaurant chain to offer a concrete look at what Python can do. Written for business students with no previous coding experience and those in business roles that include coding or working with coding teams, Python for MBAs is an indispensable introduction to a versatile and powerful programming language"--
|c Provided by publisher.
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505 |
0 |
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|a Intro -- Table of Contents -- Introduction -- Part I -- 1. Getting Started with Python -- 2. Python Basics, Part 1 -- 3. Python Basics, Part 2 -- 4. Python Basics, Part 3 -- Part II -- 5. Introduction to Data in Python -- 6. Exploring, Plotting, and Modifying Data in Python -- 7. Bringing Together Datasets -- 8. Aggregation -- 9. Practice -- What's Next? -- Notes -- Index.
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|a Python (Computer program language)
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|a Management
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|a Guetta, Daniel,
|e author.
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|i Print version:
|a Griffel, Mattan.
|t Python for MBAs.
|d New York : Columbia University Press, [2021]
|z 9780231193924
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|w (OCoLC)1156404671
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