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Item #:
219381256
Query: Getting Information from Data with the Wolfram Language
Item #:
219381256
XCD 111
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Product Details
- 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.
| Publisher | Wolfram Media, Inc. |
| Publication date | October 3, 2023 |
| Language | English |
| Print length | 368 pages |
| ISBN-10 | 1579550851 |
| ISBN-13 | 978-1579550851 |
| Item Weight | 1.65 pounds (750 grams) |
| Dimensions | 7 x 0.9 x 9.9 inches (17.8 x 2.3 x 25.1 cm) |
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Query: Getting Information from Data with the Wolfram Language
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XCD 111
Order now and get it around Tuesday, November 10
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Features & Benefits
- Transform data into meaningful information effortlessly.
- Leverage the Wolfram Language for advanced analysis.
- Uncover insights from spreadsheets, CSV, or JSON files.
- Methods are powerful and often superior to SQL and Python.
- Learn data munging techniques that are both fun and accessible.
- Build competence for the computational knowledge future.
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