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Item #:
219381256
Query: Getting Information from Data with the Wolfram Language
Item #:
219381256
INR 3427
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INR 3427
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Product Details
- Available on Kindle Fire or the Kindle app for desktop/mobile. Not compatible with Kindle Paperwhite.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 |
| File size | 10.2 MB |
| Enhanced typesetting | Not Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Format | Print Replica |
| ISBN-13 | 978-1579550868 |
| Page Flip | Not Enabled |
| Item Weight | 0.5 lbs (230 grams) |
Product Description
Query: Getting Information from Data with the Wolfram Language
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INR 3427
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Features & Benefits
- Learn to transform raw data into actionable insights.
- Utilizes Wolfram Language for effective data analysis.
- Covers advanced methods more powerful than SQL.
- Includes practical exercises to enhance your skills.
- Ideal for anyone interested in machine learning and statistics.
- Provides a comprehensive roadmap for readers.
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