Julia 1.0 release Opens the Doors for a Connected World

guest · Aug 11, 2018

Julia 1.0 release Opens the Doors for a Connected World
August 10, 2018
https://insidehpc.com/2018/08/julia-1-0-release-opens-doors-connected-world/

Today Julia Computing announced the Julia 1.0 programming language release, “the most important Julia milestone since Julia was introduced in February 2012.”

As the first complete, reliable, stable and forward-compatible Julia release, version 1.0 is the fastest, simplest and most productive open-source programming language for scientific, numeric and mathematical computing.

"During the last six and a half years, Julia has reached more than 2 million downloads and early adopters have already put Julia into production to power self-driving cars, robots, 3D printers and applications in precision medicine, augmented reality, genomics, energy trading, machine learning, financial risk management and space mission planning,” said Julia co-creators Jeff Bezanson, Stefan Karpinski, Viral Shah and Alan Edelman. [...]"
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guest · Aug 26, 2020

Julia v1.5.0 has been released
August 3, 2020
https://discourse.julialang.org/t/julia-v1-5-0-has-been-released/44169

Thank you to everyone who made this year’s JuliaCon great! As a parting gift, the Julia developers are pleased to announce the release of Julia v1.5.0, the fifth minor release in the 1.x series. Jeff and Stefan put together a blog post highlighting some of the most exciting new features in 1.5. Check it out!

As usual, binaries are available for all of your favorite platforms (Linux, macOS, Windows, and FreeBSD) at https://julialang.org/downloads.
As a minor release, v1.5.0 contains no breaking changes, only new features, performance improvements, and marginal, undisruptive changes in behavior. You can also see the NEWS file for the full set of changes.

Note that like 1.5, like its predecessor 1.4, does not have long term support.
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guest · Aug 26, 2020

Programming languages: Julia users most likely to defect to Python for data science
August 28, 2020
https://www.zdnet.com/article/progr...-likely-to-defect-to-python-for-data-science/

The open-source project behind Julia, a programming language for data scientists, has revealed which languages users would shift to if they decided no longer to use Julia.

Julia, a zippy programming language that has roots at MIT, has published the results of its 2020 annual user survey. The study aims to uncover the preferences of those who are building programs in the language. This year, the survey attracted 2,565 Julia users and developers, up from 1,844 participants in 2019.
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Regardless of which popularity index you look at, Python is in the top three, and its popularity is being driven by data scientists [...] But Julia, which developer analyst firm RedMonk has rated as a language to watch, does have decent support behind it too.
Last year, 73% of Julia users said they would use Python if they weren't using Julia, but this year 76% nominated Python as the other language.

Some of these trends look positive for the long-term survival of Julia despite the threat posed by Python as the go-to language for data scientists.
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Julia users also revealed what they love and hate about the programming language, which Julia's supporters claim is faster than Python and R for big-data analysis using CSV files for tasks like looking at stock-price states and analyzing mortgage risk.

Among the most-liked features include speed and performance, ease of use, its open-source status, and its ability to solve problems around using two languages.
Non-technical reasons in its favor are that it's free, has an active community of developers, and that it is available under an MIT license, while creating packages for Julia is supposedly easy to do.
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Julia: 2020 Julia User and Developer Survey

This year, 2,565 Julia users and developers participated in the second annual Julia User and Developer Survey - up from 1,844 participants last year. This year, the survey was administered in 4 languages: English, Spanish, Chinese and German.

The survey was presented during JuliaCon, and highlights are included below. The slides are available for download.
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"Results - 2020 Julia User and Developer Survey"
(PDF - 2.83 MB): https://julialang.org/assets/2020-julia-user-developer-survey.pdf

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Julia 1.0 release Opens the Doors for a Connected World

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