- juliakorea.github.io
- The Julia Programming Language - YouTube
- JuliaBox - Run Julia from the Browser. No setup
- 줄리아 언어를 소개합니다
- juliadiary.tistory.com
- julialang.org/learning
- docs.julialang.org
- learnxinyminutes.com/docs/julia
- Talk Julia - YouTube
- Introduction to Julia Internals
- The Julia Computer Language
- mochajl.readthedocs.org
- Julia: A Fast Language for Numerical Computing
- 근본주의자 스타일로 줄리아 소개하기
- 노우경 “‘줄리아’에 푹 빠졌어요”
- 수천 줄 코드를 50줄로 줄여주는 ‘확률론적 프로그래밍 언어’
- examples
- Tricked out iterators in Julia
- route optimizer
- Julia founders commercialise language, create new startup
- Shelling Out Sucks
- Cutting planes with Julia and JuMP
- Python vs. Julia-Python in terms of Speed
- MATLAB–Python–Julia cheatsheet
- Should You Jump Python’s Ship And Move To Julia?
- Julia vs Python in Data Science
- JuliaTokyo3LT
- What's wrong with this Julia?
- Julia: Numerical Applications Pushing the Limits of Language Design
- Viral B Shah - The many ways of parallel computing with Julia
- Automated reasoning in F#, Scala, Haskell, C++, and Julia
- Analyzing Julia's issue counts over time
- Linear Algebra in Julia
- quantitative economic modelling by python and julia
- JuliaOpt Optimization related projects in Julia v2
- Julia Calling Python Calling Julia
- Jeff Bezanzon: Julia - The base language, future directions and speculations
- testing @code_llvm, Base.llvmcall
- Machine Learning and Visualization in Julia
- Visualization and Learning in Julia
- 줄리아 프로그래밍 언어(Julia programming language)
- RCE 107: Julia
- Julia Day in New York on Nov 30th
- Julia Language with Jeff Bezanson
- PredictAsthma
- Julia Computing - an alternative to Hadoop
- 아름다운 줄리아 프로그래밍 1~6장
- stochasticlifestyle.com/category/programming/julia
- High-Performance GPU Computing in the Julia Programming Language
- On Machine Learning and Programming Languages
- Julia v0.7.0 릴리즈 노트
- Solve the ‘unsolvable’ with Monte Carlo methods
- 18.S096, IAP 2018: Performance Computing in a High Level Language
- Using LaTeX to enter greek letters
- Julia on Google Colab: Free GPU-Accelerated Shareable Notebooks
- keno.github.io/julia-wasm/website/repl.htm
- DiffEqFlux.jl – A Julia Library for Neural Differential Equations
- Using Julia for Data Science
- Will Julia become more popular than Python for data science?
- Learn Julia for Data Science
- A Julia interpreter and debugger
- singularity-py-and-jl - Simple singularity recipe for Keras(python3) & Flux(julia) (personal use)
- Announcing composable multi-threaded parallelism in Julia
- Multi-Threading Using Julia for Enterprises - YouTube
- How do you create threads and wait for them to finish with the Julia programming language?
- JuliaCon 2019 | Thread Based Parallelism
- JuliaCon 2019 | What's Bad About Julia | Jeff Bezanson
- Machine Learning on Encrypted Data Without Decrypting It
- Does Julia have a future as a general high-performance language?
- Meet Julia: The Future of Data Science | by Natassha Selvaraj | Nov, 2022 | Towards Data Science
- Apart from the lack of libraries (if compared to Python, for example), is there any reason Julia wouldn't be a good general purpose programming language?
- Bisection method - 1 수치적 방법으로 방정식의 해를 근사적으로 찾는 iterative method중 가장 간단한 알고리즘
- 줄리아 언어로 구현 해 보는 Bisection method - 1
- Emmetts-DS-NoteBooks/Metaprogramming a Scatterplot with compose (Pt. 3).ipynb at master · emmettgb/Emmetts-DS-NoteBooks · GitHub
- Metaprogramming A Coordinate Parser With Compose In Julia | by Emmett Boudreau | Towards Data Science
- MetaProgramming A Graph Class In Julia (Part Two) | by Emmett Boudreau | Towards Data Science
- Introducing Hone: The Modular Object-Oriented Graphing Library For Julia | by Emmett Boudreau | Towards Data Science
- Adding Julia’s Polymorphic Dispatch To My Plotting Library (Part 4) | by Emmett Boudreau | Towards Data Science
- Adding Color And Features To My Graphing Library For Julia (Part 5) | by Emmett Boudreau | Towards Data Science
- Multiple Dispatch: A Powerful Programming Paradigm | by Alex Powell | Jan, 2021 | Towards Data Science
- Optimizing Serial Code
- Profiling type-inference
- Decision-Making-Under-Uncertainty: Decision making under uncertainty using the POMDPs.jl ecosystem
- Concurrency in Julia LWN.net
- Installing Every Arch Package
- 220417 - Julia Memory Layout - 김종수.pdf - Google Drive
- All about Regular Expressions in Julia - YouTube
- AI for HVAC: How Julia Computing Uses Machine Learning to Tackle Building Efficiency with JuliaSim - YouTube
- High-performance xPU Stencil Computations in Julia :: JuliaCon 2022 (Times are UTC) :: pretalx
- Simulation of atmospheric turbulence with MicroHH.jl :: JuliaCon 2022 (Times are UTC) :: pretalx
- Matěj Račinský - Julia in Python’s den PyData Prague 2022-06-27 - YouTube
- 줄리아, 머신러닝에 파이썬보다 더 나은 이유는? < Coding < 기사본문 - 코딩월드뉴스
- Julia_for_Pythonistas.ipynb - Colaboratory
- JuliaHub is a Free Platform to Start your Technical Computing Journey
- workshop-accelerate-Python-with-Julia: pycon 2023 Tutorial
- Pkg.add
-
proxy for git
julia> ; git config --global url."https://github.com/".insteadOf git://github.com/ julia> ; git config --global http.proxy http://... julia> ; git config --global https.proxy http://...
-
- Julia Programming for Operations Research: A Primer on Computing
- Julia for Data Science, by Zacharias Voulgaris, PhD
- bogumilkaminski.pl/files/julia_express.pdf
- First Semester in Numerical Analysis with Julia
- ECOOP Prague 2015
- JuliaCon
- The 10th annual JuliaCon, 2023 - YouTube
- The Julia Programming Language - YouTube
- Meet the Julians
- The 6th annual JuliaCon 2019 (Baltimore)
- JuliaCon 2019 | Keynote: Professor Madeleine Udell
- JuliaCon 2017
- JuliaCon 2015 Preview - Deep Learning, 3D Printing, Parallel Computing, and so much more
- Julia Summer of Code 2015
- JuliaCon 2015 (MIT)
- JuliaCon India 2015
- juliakorea
- AccelInterfaces.jl - JuliaCon 2023 - Google Slides
- Developing Julia Packages
- Arraypocalypse
- COIN-OR Cup
- DataFrames.jl
- EmbeddingJuliaEx Boilerplate for Julia Embedding to C and Autotools
- Escher - build beautiful interactive Web UIs in Julia
- Flux - Relax! Flux is the ML library that doesn't make you tensor https://fluxml.ai
- 장점
- 굳이 ML뿐만 아니라 Optimization problem 같은 곳에서도 사용 가능
- 직관적이고 미니멀한 프레임워크. 수학적으로 보면 코드짜기가 더 쉬울 수 도 있음
- 단점
- 문서 부실. model-zoo까지 안보면 기본 문서만으로는 매우 어려움
- 역사가 얼마 안되고 기여하는 사람이 적은 만큼 Unstable한 부분이 존재
- 기존 프레임워크를 쓰던 사람은 문서 부실할 뿐더러 미니멀하기 때문에 필요한 것들이 엾어서 i.e. Regularization. 당황스러울 수 있음
- Flux: Machine Learning with Julia
- Char RNN
- 장점
- Genie Framework - Highly Productive Web Development with Julia
- GLVisualize - 3D visualization library
- jnumpy: Writing Python C extensions in Julia within 5 minutes
- Jolin Cloud
- Juno is a powerful, free environment for the Julia language
- JuliaDT - Introducing the Eclipse Julia plugin - JuliaDT
- Julia for VSCode
- JuliaML
- JuliaOpt - Optimization packages for the Julia language
- JuMP - a domain-specific modeling language for mathematical programming embedded in Julia
- Juno - a powerful, free environment for the Julia language
- Knet.jl: Koç University deep learning framework
- Millboard.jl - Displaying data in tables for Julia
- Mux.jl gives your Julia web services some closure
- MySQL.jl: Access MySQL from Julia
- Nemo is a computer algebra package for the Julia programming language
- OnlineStats.jl - On-line statistics for Julia
- Implementing Unums in Julia
- perceptron-jl - Julia porting version of FCNN in Python and C++
- Pluto.jl: Simple reactive notebooks for Julia
- TensorFlow.jl - A Julia wrapper for TensorFlow
- Trixi.jl: Adaptive high-order numerical simulations of hyperbolic PDEs in Julia
- Weave.jl - Scientific Reports Using Julia