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Data Science with Julia
Reactive PublishingData Science with Julia
By Hayden Van Der Post
Experience data science reimagined—faster, leaner, and more elegant—with the Julia programming language.
While Python and R have dominated the data science conversation for years, Julia is the breakthrough language designed from the ground up for high-performance numerical computing. Data Science with Julia is your hands-on guide to mastering the full data science pipeline using this modern, lightning-fast tool.
From data wrangling to modeling to visualization and deployment, this book equips you
Harness Julia’s speed for massive datasets and real-time analytics
Perform advanced statistical analysis with native packages
Build machine learning models using Flux and MLJ.jl
Visualize data interactively with Makie and Plots.jl
Deploy Julia-based data apps and scripts in production workflows
Written for analysts, researchers, and developers tired of clunky workarounds and sluggish runtime, this is a pragmatic, performance-first approach to doing data science in the 2020s.
If you're ready to ditch the lag and embrace precision at scale—Julia is your new secret weapon.
By Hayden Van Der Post
Experience data science reimagined—faster, leaner, and more elegant—with the Julia programming language.
While Python and R have dominated the data science conversation for years, Julia is the breakthrough language designed from the ground up for high-performance numerical computing. Data Science with Julia is your hands-on guide to mastering the full data science pipeline using this modern, lightning-fast tool.
From data wrangling to modeling to visualization and deployment, this book equips you
Harness Julia’s speed for massive datasets and real-time analytics
Perform advanced statistical analysis with native packages
Build machine learning models using Flux and MLJ.jl
Visualize data interactively with Makie and Plots.jl
Deploy Julia-based data apps and scripts in production workflows
Written for analysts, researchers, and developers tired of clunky workarounds and sluggish runtime, this is a pragmatic, performance-first approach to doing data science in the 2020s.
If you're ready to ditch the lag and embrace precision at scale—Julia is your new secret weapon.
623 pages, Paperback
Published March 29, 2025
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