2021년 2월 17일 (수) 08:44에 Pythagoras0님의 편집

2021-02-17T08:44:12Z

Pythagoras0: /* 메타데이터 */ 새 문단

2020-12-26T12:59:01Z

메타데이터: 새 문단

Pythagoras0: /* 노트 */ 새 문단

2020-12-16T18:32:31Z

노트: 새 문단

새 문서

== 노트 ==

* The paper reviews what the Julia programming language is and its staying power relative to other popular programming languages.<ref name="ref_9c22">[https://dl.acm.org/doi/abs/10.1145/3277104.3277119 An Overview of the Julia Programming Language]</ref>
* , it’s super easy to use python and R packages within Julia.<ref name="ref_9660">[https://www.machinelearningplus.com/julia/julia-programming-language/ Julia – Programming Language]</ref>
* Julia is a MIT certified free open source, high level , high performance programming language.<ref name="ref_9660" />
* Julia uses the JIT(Just in Time) – compiler which generates native machine code.<ref name="ref_9660" />
* What if I tell you Julia passes all these criterias.<ref name="ref_9660" />
* Kamiński: Here it is crucial to define what I understand by Julia being ready for production.<ref name="ref_68c6">[https://www.infoq.com/news/2020/08/julia-production-ready/ Is Julia Production Ready? Q&A with Bogumił Kamiński]</ref>
* Well, you can easily "ship" a Julia project and expect that anyone on any environment should be able to relatively effortlessly run it.<ref name="ref_68c6" />
* I do not see Julia as a language that is best suited for any kind of project.<ref name="ref_68c6" />
* Each programming language has its niche, and the niche of Julia is high performance computing/data science (or however you call it).<ref name="ref_68c6" />
* Julia is a high-performance, high-level, and dynamic programming language that leans toward technical, numerical, and statistical computing.<ref name="ref_32ba">[https://www.simplilearn.com/things-to-know-about-julia-programming-language-article Things to Know About Julia Programming Language]</ref>
* Asked to explain why the name Julia, Stefan Karpinski said in an interview, “That's everybody's favorite question.<ref name="ref_32ba" />
* Julia is now backed by more than 700 active contributors.<ref name="ref_32ba" />
* Where Julia shines is in its ability to balance speed and performance.<ref name="ref_32ba" />
* Julia entered the market when data is making organisations more futuristic, agile, and effective.<ref name="ref_26c8">[https://timesofindia.indiatimes.com/readersblog/disruptive-tech-and-e-learning/julia-programming-language-for-the-future-18987/ Julia: Programming Language for the Future]</ref>
* He furthers it by saying that unlike other compiled languages like C that are compiled before execution, Julia is compiled at run-time.<ref name="ref_26c8" />
* Users with a preference for the grammar of graphics style API might like the pure Julia Gadfly.jl plotting package.<ref name="ref_26c8" />
* VegaLite.jl provides the Vega-Lite grammar of interactive graphics interface as a Julia package.<ref name="ref_26c8" />
* Now Julia is waiting for us to input our code, evaluating it line by line.<ref name="ref_b981">[https://www.packtpub.com/product/julia-programming-projects/9781788292740 Julia Programming Projects]</ref>
* You can confirm that by checking the Terminal prompt, which says julia> .<ref name="ref_b981" />
* So we can use Julia like a simple calculator.<ref name="ref_b981" />
* This also tells us that Julia does not allow using variables without properly initializing them.<ref name="ref_b981" />
* My entire research is in Julia nowadays, and I don't regret it.<ref name="ref_add0">[https://www.researchgate.net/post/What-were-the-reasons-for-selecting-Julia-as-programming-language What were the reasons for selecting Julia as programming language?]</ref>
* Julia's package library is small and still coming of age – but for you, that's a great thing!<ref name="ref_3e8d">[https://summerofcode.withgoogle.com/archive/2016/organizations/5096506709245952/ Google Summer of Code Archive]</ref>
* In contrast Julia looks like Python or Matlab with a twist.<ref name="ref_5319">[https://towardsdatascience.com/a-scenic-look-at-the-julia-language-e8ba53dea5bd A Quick Tour of the Julia Language]</ref>
* Economists at the Federal Reserve Bank of New York have adopted Julia for modeling.<ref name="ref_5319" />
* Because it is so new, Julia’s code base can be lacking.<ref name="ref_5319" />
* Many Julia libraries are still updating and expanding, and new features are added to the language every few months.<ref name="ref_5319" />
* Recently, Julialang also celebrated the addition of composable multi-threaded parallelism, taking a page out of the Golang’s book.<ref name="ref_71f8">[https://jaxenter.com/julia-survey-results-160782.html Julia: The programming language of the future?]</ref>
* Julialang is a high-performance, dynamically-typed, open source language that shines in scientific computing.<ref name="ref_71f8" />
* In January 2019, Julia Computing won the Wilkinson Prize for Numerical Software, which awards outstanding contributions in the field.<ref name="ref_71f8" />
* According to the 2019 survey, 73% of users and developers use Julia for research.<ref name="ref_71f8" />
* Where does Julia stand in Machine Learning?<ref name="ref_5c07">[https://www.linkedin.com/pulse/julia-language-machine-learning-algorithms-open-issues-dossman?articleId=6652966567149699073 Julia Language in Machine Learning: Algorithms, Applications, and Open Issues]</ref>
* According to the paper, Julia is rapidly becoming a highly competitive language in data science and general scientific computing.<ref name="ref_5c07" />
* Julia is seeing major uptake in the scientific community.<ref name="ref_f912">[https://medium.com/swlh/why-i-wrote-a-julia-programming-book-81f429aaa2c1 Why I Wrote a Julia Programming Book]</ref>
* The next-generation climate model is being built in Julia.<ref name="ref_f912" />
* Julia is among the few languages being used on the biggest supercomputers.<ref name="ref_f912" />
* Everybody would enjoy using Julia for their work.<ref name="ref_f912" />
* Keno Fischer, Julia Computing co-founder and CTO (Tools) discussed Julia and Julia Computing in a recent interview.<ref name="ref_91e7">[https://insidebigdata.com/2019/11/10/julia-the-programming-language-of-the-future/ Julia: The Programming Language Of The Future]</ref>
* Julia is a modern open-source language for data science, machine learning and scientific computing that has gained increasing attention.<ref name="ref_91e7" />
* Julia uses type inference and just-in-time compilation to compile high-level user code to machine code on the fly.<ref name="ref_5bfa">[https://ui.adsabs.harvard.edu/abs/2017APS..DFDL39011G/abstract The Julia programming language: the future of scientific computing]</ref>
* Python has been around for a long time than Julia and soon it has become the preferred choice for developers and programmers.<ref name="ref_bd84">[https://theiotmagazine.com/julia-vs-python-will-it-unseat-the-king-of-programming-8220e4cd2e0a Julia Vs Python: Will it unseat the king of programming?]</ref>
* Julia has been emerging as a potential competitor for Python with predominant features and Python is no lagging behind.<ref name="ref_bd84" />
* Julia, an excellent choice for numerical computing and it takes lesser time for big and complex codes.<ref name="ref_bd84" />
* Julia undoubtedly beats Python in the performance and speed category.<ref name="ref_bd84" />
* With Julia, it was harder to find off-the-shelf libraries.<ref name="ref_409e">[https://voxeu.org/content/which-numerical-computing-language-best-julia-matlab-python-or-r Which numerical computing language is best: Julia, MATLAB, Python or R?]</ref>
* Julia is the newcomer and it shows, incorporating state-of-the-art language design features.<ref name="ref_409e" />
* Julia's handling of data is lacking in terms of file types and options supported at present.<ref name="ref_409e" />
* That said, Python, Julia and R can all call functions from each other.<ref name="ref_409e" />
* If you have no clue about Julia, yet you want to master this language, this is an apt starter for you.<ref name="ref_ca85">[https://www.analyticsvidhya.com/resources-learn-julia/ Best Resources to Learn Julia Programming]</ref>
* This tutorial will allow you to learn Julia by doing it simultaneously.<ref name="ref_ca85" />
* This conference comprises of talks and workshops which intends to cover a wide range of applications and tutorials of Julia Programming.<ref name="ref_ca85" />
* Here’s the Youtube videos from Julia Conference 2014.<ref name="ref_ca85" />
* Consider recent stats on Julia adoption.<ref name="ref_20a9">[https://www.hpcwire.com/2020/01/14/julia-programmings-dramatic-rise-in-hpc-and-elsewhere/ Julia Programming’s Dramatic Rise in HPC and Elsewhere]</ref>
* By January 1, 2019, reports Julialang.org, the total downloads of Julia reached 7.3 million.<ref name="ref_20a9" />
* In his SC19 talk, Edelman noted that as of October 2019 there were 3,119 Julia packages available, up from 1,688 at the year’s start.<ref name="ref_20a9" />
* Whether Julia will challenge Python the way Python once challenged and then surpassed Java is an interesting question being bandied about.<ref name="ref_20a9" />
* Now Julia v1.0 and JuMP v0.19 have been released.<ref name="ref_0f7c">[https://www.chkwon.net/julia/ Julia – Changhyun Kwon]</ref>
* There were major upgrades in both Julia and JuMP including many breaking changes.<ref name="ref_0f7c" />
* I based my assessment on Julia’s unique combination of convenient syntax with uncompromising performance.<ref name="ref_95ba">[https://arstechnica.com/science/2020/10/the-unreasonable-effectiveness-of-the-julia-programming-language/ The unreasonable effectiveness of the Julia programming language]</ref>
* JuliaCon, the annual Julia convention, took place (online, of course).<ref name="ref_95ba" />
* At its best, Julia can approach or match the speed of C. Julia is interactive.<ref name="ref_a2a2">[https://www.infoworld.com/article/3241107/julia-vs-python-which-is-best-for-data-science.html Julia vs. Python: Which is best for data science?]</ref>
* Julia includes a REPL (read-eval-print loop), or interactive command line, similar to what Python offers.<ref name="ref_a2a2" />
* Julia combines the benefits of dynamic typing and static typing.<ref name="ref_a2a2" />
* Julia can call Python, C, and Fortran libraries.<ref name="ref_a2a2" />
* Julia is now listed among the world’s 50 most-popular programming languages, according to one index.<ref name="ref_13cf">[https://www.nature.com/articles/d41586-019-02310-3 Julia: come for the syntax, stay for the speed]</ref>
* Julia circumvents that two-language problem because it runs like C, but reads like Python.<ref name="ref_13cf" />
* “I fell in love with the speed of Julia,” he says.<ref name="ref_13cf" />
* To all appearances, using Julia is like coding in Python: type a line, get a result.<ref name="ref_13cf" />
* Julia, a zippy programming language that has roots at MIT, has published the results of its 2020 annual user survey.<ref name="ref_fe88">[https://www.zdnet.com/article/programming-languages-julia-users-most-likely-to-defect-to-python-for-data-science/ Programming languages: Julia users most likely to defect to Python for data science]</ref>
* But Julia, which developer analyst firm RedMonk has rated as a language to watch, does have decent support behind it too.<ref name="ref_fe88" />
* "The more experience people gain with Julia, the less they want to use anything else.<ref name="ref_fe88" />
* The most frequently used languages after Julia are Python, and then Bash/Shell/PowerShell.<ref name="ref_fe88" />
* In an interview with InfoWorld in April 2012, Karpinski said of the name "Julia": "There's no good reason, really.<ref name="ref_aae4">[https://en.wikipedia.org/wiki/Julia_(programming_language) Julia (programming language)]</ref>
* Julia 1.1 was released in January 2019 with, e.g., a new "exception stack" language feature.<ref name="ref_aae4" />
* Julia 1.1.x releases are no longer maintained).<ref name="ref_aae4" />
* Packages that work in Julia 1.0.x should work in 1.1.x or newer, enabled by the forward compatible syntax guarantee.<ref name="ref_aae4" />
===소스===
<references />

@@ 80번째 줄: / 80번째 줄: @@
   <references />
-== 메타데이터 ==
+==메타데이터==
 ===위키데이터===
 * ID :  [https://www.wikidata.org/wiki/Q2613697 Q2613697]

← 이전 판		2020년 12월 26일 (토) 12:59 판
79번째 줄:		79번째 줄:
	===소스===		===소스===
	<references />		<references />
		+
		+	== 메타데이터 ==
		+
		+	===위키데이터===
		+	* ID : [https://www.wikidata.org/wiki/Q2613697 Q2613697]

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2021년 2월 17일 (수) 08:44에 Pythagoras0님의 편집

Pythagoras0: /* 메타데이터 */ 새 문단

Pythagoras0: /* 노트 */ 새 문단