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008			230322b ||||| |||| 00| 0 eng d
020			_a9780231193931
082			_a005.133 _bGRI
100			_aGriffel, Mattan _99077
245			_aPython for MBAs
260			_bCambridge University Press _aNew York _c2021
300			_aviii, 357 p.
365			_aUSD _b35.00
504			_aTable of content 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
520			_aFrom 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.
650			_aPython (Computer program language) _912443
650			_aBusiness--Data processing _9840
650			_aBusiness _9388
700			_aGuetta, Daniel _912444
942			_2ddc _cBK