PRICES MAY VARY. Reactive Publishing Data 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 to: 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.
