Python for MBAs /:
"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. F...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York :
Columbia University Press,
[2021]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "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"-- |
| Beschreibung: | 1 online resource : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9780231550574 023155057X |
Internformat
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| 520 | |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. | ||
| 505 | 0 | |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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| author | Griffel, Mattan Guetta, Daniel |
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| contents | 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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| dewey-full | 005.13/3 |
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| dewey-search | 005.13/3 |
| dewey-sort | 15.13 13 |
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| discipline | Informatik |
| format | Electronic eBook |
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| spelling | Griffel, Mattan, author. http://id.loc.gov/authorities/names/n2020039778 Python for MBAs / Mattan Griffel and Daniel Guetta New York : Columbia University Press, [2021] 1 online resource : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Description based on online resource; title from digital title page (viewed on December 1, 2022). Includes bibliographical references and index. "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"-- Provided by publisher. 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. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Business Data processing. http://id.loc.gov/authorities/subjects/sh85018264 Management Data processing. http://id.loc.gov/authorities/subjects/sh85080339 Python (Langage de programmation) Gestion Informatique. BUSINESS & ECONOMICS Education. bisacsh Python (Computer program language) fast Business Data processing fast Business fast Guetta, Daniel, author. http://id.loc.gov/authorities/names/n2020039780 has work: Python for MBAs (Text) https://id.oclc.org/worldcat/entity/E39PCFJqCbRBtyk9Rc3KhrhcxC https://id.oclc.org/worldcat/ontology/hasWork Print version: Griffel, Mattan. Python for MBAs. New York : Columbia University Press, [2021] 9780231193924 (DLC) 2020032750 (OCoLC)1156404671 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2458723 Volltext |
| spellingShingle | Griffel, Mattan Guetta, Daniel Python for MBAs / 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. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Business Data processing. http://id.loc.gov/authorities/subjects/sh85018264 Management Data processing. http://id.loc.gov/authorities/subjects/sh85080339 Python (Langage de programmation) Gestion Informatique. BUSINESS & ECONOMICS Education. bisacsh Python (Computer program language) fast Business Data processing fast Business fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh96008834 http://id.loc.gov/authorities/subjects/sh85018264 http://id.loc.gov/authorities/subjects/sh85080339 |
| title | Python for MBAs / |
| title_auth | Python for MBAs / |
| title_exact_search | Python for MBAs / |
| title_full | Python for MBAs / Mattan Griffel and Daniel Guetta |
| title_fullStr | Python for MBAs / Mattan Griffel and Daniel Guetta |
| title_full_unstemmed | Python for MBAs / Mattan Griffel and Daniel Guetta |
| title_short | Python for MBAs / |
| title_sort | python for mbas |
| topic | Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Business Data processing. http://id.loc.gov/authorities/subjects/sh85018264 Management Data processing. http://id.loc.gov/authorities/subjects/sh85080339 Python (Langage de programmation) Gestion Informatique. BUSINESS & ECONOMICS Education. bisacsh Python (Computer program language) fast Business Data processing fast Business fast |
| topic_facet | Python (Computer program language) Business Data processing. Management Data processing. Python (Langage de programmation) Gestion Informatique. BUSINESS & ECONOMICS Education. Business Data processing Business |
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