| Description |
1 online resource (472 pages) : illustrations |
| Note |
Includes index. |
| Summary |
Master core data analysis skills using Julia. Interesting hands-on projects guide you through time series data, predictive models, popularity ranking, and more. Julia was designed for the unique needs of data scientists: it's expressive and easy-to-use whilst also delivering super-fast code execution. Julia for Data Analysis shows you how to take full advantage of this amazing language to read, write, transform, analyze, and visualize data--everything you need for an effective data pipeline. It's written by Bogumił Kamiński, one of the top contributors to Julia, #1 Julia answerer on StackOverflow, and a lead developer of Julia's core data package DataFrames.jl. Its engaging hands-on projects get you into the action quickly. Plus, you'll even be able to turn your new Julia skills to general purpose programming! Julia for Data Analysis teaches you how to handle core data analysis tasks with the Julia programming language. You'll start by reviewing language fundamentals as you practice techniques for data transformation, visualizations, and more. Then, you'll master essential data analysis skills through engaging examples like examining currency exchange, interpreting time series data, and even exploring chess puzzles. Along the way, you'll learn to easily transfer existing data pipelines to Julia. |
| Bibliography |
Includes bibliographical references and index. |
| Subject |
Julia (Computer program language)
|
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Data structures (Computer science)
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Dynamic programming.
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Julia (Langage de programmation) |
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Structures de données (Informatique) |
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Programmation dynamique. |
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Data structures (Computer science) |
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Dynamic programming |
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Julia (Computer program language) |
| ISBN |
9781633439368 (electronic bk.) |
|
1633439364 (electronic bk.) |
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9781638351788 (electronic bk.) |
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1638351783 (electronic bk.) |
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