Isbn: 9781579550851 - query: getting information from data with the wolfram language (30 risultati)

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Paperback. Condizione: new. Paperback. Mathematica and the Wolfram Language provide an integrated environment for sophisticated programming, making them the ideal tools for calculus, data visualization, machine learning, and more. But how about using Wolfram as the linchpin for organizing data? In this book, Professor Seth J. Chandler, an award-winning, 30-year user of the Wolfram Language, guides intermediate users from simple cases to data in the wild and shows how each can be fed into the full range of Wolfram Language functionality. It's both a conceptual and practical approach filled with annotated examples. Want to know more about associations or the organization and presentation of datasets? This book shows how it's done. Want to organize or reduce data in the Wolfram Language similarly to the way one might use SQL, pandas in Python, or dplyr in R's tidyverse? This book shows how to simplify data processing and go beyond what is possible with other tools using the Query function. It also explores how to import information from the places real-world data is most likely to be found: CSV, Excel, or JSON files. Use Query both as a tutorial and as a reference. Read it cover-to-cover doing the exercises or dip in to look up specific data-wrangling tasks. Augmenting the underlying power of the Wolfram Language with the techniques taught in this book puts you at the forefront of innovative data analysis. The Wolfram Language provides an integrated environment for sophisticated programming,making it the ideal tool for calculus, data visualization, machine learning, and more. In this book, Professor Seth J.Chandler, an award-winning, 30-year user of the Wolfram Language, guides intermediateusers from simple cases to data in the wild. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: New.

Paperback. Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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

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Condizione: New. pp. 368.

Condizione: New. pp. 368.

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

Taschenbuch. Condizione: 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. Condizione: 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. Condizione: 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. Condizione: 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'.…

Paperback. Condizione: New.

Taschenbuch. Condizione: 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.…

Paperback. Condizione: new. Paperback. Mathematica and the Wolfram Language provide an integrated environment for sophisticated programming, making them the ideal tools for calculus, data visualization, machine learning, and more. But how about using Wolfram as the linchpin for organizing data? In this book, Professor Seth J. Chandler, an award-winning, 30-year user of the Wolfram Language, guides intermediate users from simple cases to data in the wild and shows how each can be fed into the full range of Wolfram Language functionality. It's both a conceptual and practical approach filled with annotated examples. Want to know more about associations or the organization and presentation of datasets? This book shows how it's done. Want to organize or reduce data in the Wolfram Language similarly to the way one might use SQL, pandas in Python, or dplyr in R's tidyverse? This book shows how to simplify data processing and go beyond what is possible with other tools using the Query function. It also explores how to import information from the places real-world data is most likely to be found: CSV, Excel, or JSON files. Use Query both as a tutorial and as a reference. Read it cover-to-cover doing the exercises or dip in to look up specific data-wrangling tasks. Augmenting the underlying power of the Wolfram Language with the techniques taught in this book puts you at the forefront of innovative data analysis. The Wolfram Language provides an integrated environment for sophisticated programming,making it the ideal tool for calculus, data visualization, machine learning, and more. In this book, Professor Seth J.Chandler, an award-winning, 30-year user of the Wolfram Language, guides intermediateusers from simple cases to data in the wild. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condizione: New.

Taschenbuch. Condizione: 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.…