Query information data wolfram von chandler seth (9 Ergebnisse)

Paperback. Zustand: Brand New. 368 pages. 9.92x7.01x0.98 inches. In Stock.

Zustand: New. pp. 368.

Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Zustand: New. 2023. paperback. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 368 pages. 9.92x7.01x0.98 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware - 'Learn to use the Wolfram Language's capabilities for data science and organization in order to unlock the full potential for real-world applications. Professor Seth J. Chandler, an award winning, 30-year user of the Wolfram Language guides intermediate users from data in the wild to data that can feed the full range of Wolfram Language functionality. It's both a conceptual and practical approach, filled with annotated examples that draw data from areas with which many readers will already be familiar: passengers on the Titanic or the world of sports. Want to know more about Associations or about the organization and presentation of Datasets This book shows you how it's done. Want to organize or reduce data similarly to the way one might use SQL, pandas in Python or dplyr in R's Tidyverse The book shows how to do just that (and more) using the Query function that gives the book its name. The final chapter shows how to import information from the places real-world data is most likely to be found: CSV, Excel or JSON files on the Web. Use Query both as a tutorial and as a reference. Read it sequentially, doing the exercises that accompany every chapter, or use its index to find out how to perform a specific Dataset operation. An electronic supplement will shortly be published that extends the material here to more complex forms of data such as those found in the Wolfram Knowledgebase'.…

Taschenbuch. Zustand: Neu. Neuware -'Learn to use the Wolfram Language's capabilities for data science and organization in order to unlock the full potential for real-world applications. Professor Seth J. Chandler, an award winning, 30-year user of the Wolfram Language guides intermediate users from data in the wild to data that can feed the full range of Wolfram Language functionality. It's both a conceptual and practical approach, filled with annotated examples that draw data from areas with which many readers will already be familiar: passengers on the Titanic or the world of sports. Want to know more about Associations or about the organization and presentation of Datasets This book shows you how it's done. Want to organize or reduce data similarly to the way one might use SQL, pandas in Python or dplyr in R's Tidyverse The book shows how to do just that (and more) using the Query function that gives the book its name. The final chapter shows how to import information from the places real-world data is most likely to be found: CSV, Excel or JSON files on the Web. Use Query both as a tutorial and as a reference. Read it sequentially, doing the exercises that accompany every chapter, or use its index to find out how to perform a specific Dataset operation. An electronic supplement will shortly be published that extends the material here to more complex forms of data such as those found in the Wolfram Knowledgebase' 386 pp. Englisch.…

Taschenbuch. Zustand: Neu. Query: Getting Information from Data with the Wolfram Language | Seth J Chandler | Taschenbuch | Englisch | 2023 | EAN 9781579550851 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Neuware -'Learn to use the Wolfram Language's capabilities for data science and organization in order to unlock the full potential for real-world applications. Professor Seth J. Chandler, an award winning, 30-year user of the Wolfram Language guides intermediate users from data in the wild to data that can feed the full range of Wolfram Language functionality. It's both a conceptual and practical approach, filled with annotated examples that draw data from areas with which many readers will already be familiar: passengers on the Titanic or the world of sports. Want to know more about Associations or about the organization and presentation of Datasets This book shows you how it's done. Want to organize or reduce data similarly to the way one might use SQL, pandas in Python or dplyr in R's Tidyverse The book shows how to do just that (and more) using the Query function that gives the book its name. The final chapter shows how to import information from the places real-world data is most likely to be found: CSV, Excel or JSON files on the Web. Use Query both as a tutorial and as a reference. Read it sequentially, doing the exercises that accompany every chapter, or use its index to find out how to perform a specific Dataset operation. An electronic supplement will shortly be published that extends the material here to more complex forms of data such as those found in the Wolfram Knowledgebase' 386 pp. Englisch.…