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\nJulia for Data Science (Video 18)\n

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\nJulia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine performance...\nJulia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine performance without the sacrifice of human convenience. Julia is a fresh approach to technical computing, combining expertise from diverse fields of computational and computer science.

This video course walks you through all the steps involved in applying the Julia ecosystem to your own data science projects. We start with the basics and show you how to design and implement some of the general purpose features of Julia. Is fast development and fast execution possible at the same time? Julia provides the best of both worlds with its wide range of types, and our course covers this in depth. You will have organized and readable code by the end of the course by learning how to write Lisp style macros and modules.

The course demonstrates the power of the DataFrames package to manage, organize, and analyze data. It enables you to work with data from various sources, perform statistical calculations on them, and visualize their relationships in different kinds of plots through live demonstrations.

Julia for Data Science takes you from zero to hero, leaving you with the know-how required to apply\n
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Resource Details

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Educator Rating
Not yet Rated
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Media Length
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3:02
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Grade
Higher Ed
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Subjects
Social Studies & History
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Media Type
Instructional Videos
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Source:
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\nPackt - Data\n\n
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Date
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2016
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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Additional Materials

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\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" href=\"/subscription/new\">Video Transcript\n
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Concepts

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iris, plot, species, data science
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Additional Tags

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machine learning algorithms, pipe lot, draw, display, gadfly, glm, dataframes, code, previous video, statistical programming, matlab, dataset, histogram, show, plotting, sepal length, mat plot, present, script, packages, julia, python, video, svm, plotting and visualizing data
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Classroom Considerations

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Best For: Explaining a topic
Video is ad-free
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\n\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" aria-label=\"Play video: Julia for Data Science (Video 18)\" href=\"/subscription/new\">\"Julia\n\n
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