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Related websites
Welcome - Julia Data Science
WEBWelcome! This is an open source and open access book on how to do Data Science using Julia. Our target audience are researchers from all fields of applied sciences. Of course, we hope to be useful for industry too. You can navigate through the pages of the ebook by using the arrow keys (left/right) on your keyboard.
Juliadatascience.ioJulia For Data Science
WEBAug 17, 2021 · We post high-quality articles to help you learn Julia with emphasis on data science. Articles range from: * 🚀 Installing and Setting Up Julia. * ⚡ Performance Tips.
Juliafordatascience.comMeet Julia: The Future of Data Science
WEBNov 1, 2022 · As a data enthusiast, you have probably heard about Julia, the “future programming language of data science.” There are claims that Julia will replace Python and R in the data science field, as it offers significant benefits in terms of performance, efficiency, and ease of use.
Towardsdatascience.comJulia Quickstart - Julia For Data Science
WEBApr 13, 2021 · Julia uses a Just-in-time compiler, meaning that every time you call a function with new types, Julia compiles a specific method for exactly those types. Thus the following two functions will have the same performance!
Juliafordatascience.comData Science Tutorials in Julia - GitHub Pages
WEBTutorials for learning data science using Julia, with a focus on machine learning (ML) using the MLJ toolbox and related packages.
Juliaai.github.ioThe Julia Programming Language
WEBJulia makes it possible to build complete applications. Write web UIs with Dash.jl and Genie.jl or native UIs with GTK.jl. Pull data from a variety of databases. Build shared libraries and executables with PackageCompiler. Deploy on a webserver with HTTP.jl or embedded devices. Powerful shell integration make it easy to managing other processes
Julialang.orgA Deep Introduction to Julia for Data Science and Scientific …
WEBThis section introduces you to a wide variety of packages for data science and scientific computing in Julia. Many of these pages have example problems for you to have a guided tour through the package basics.
Ucidatascienceinitiative.github.ioJulia for Beginners in Data Science - Coursera
WEBLearners who are aware of basic data science concepts such as data cleaning and exploratory data analysis, but who do not know Julia.
Coursera.orgTutorials - Julia
WEBPractical introduction to Julia for modelling and data analysis in biodiversity and earth sciences by Victor Boussange and Mauro Werder. Julia Programming Tutorial For Beginners by Bekhruz Tuychiev (DataCamp).
Julialang.orgFor Programmers - Julia Data Science
WEBYou’ve heard about this new flashy thing called “data science” and you want to jump on the bandwagon. You begin to learn how to do stuff in numpy, how to manipulate DataFrames in pandas and how to plot things in matplotlib. Or maybe you’ve learned all that in R by using the tidyverse and tibbles, data.frames, %>% (pipes) and geom_*…
Juliadatascience.io