Explore tweets tagged as #Julialanguage
We're going live with the creators of @JuliaLanguage for today's Open Source Friday! ✨ We'll discuss its past, present, and future. 🔮 Set your reminder! 👇 https://t.co/bgckgoIsoD
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I published this back in 2022 when I was > contributing to Julia and Flux(.)jl at the time > invited by @OfficialLoganK to publish it in JuliaZoid ( @JuliaLanguage 's official medium publication ) those were pre-gsoc days
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My early career benefited significantly from projects like @JuliaLanguage and others. Sustaining open source is not easy, but it’s a privilege to get to give back 💜
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Worth hearing @kdpsinghlab 's sober empirical assessments of AI and who, despite an unpleasant @JuliaLanguage fetish, is providing remarkable healthcare system leadership in AI evaluations and deployment.
On @NEJM_AI Grand Rounds, Dr. Karandeep Singh (@kdpsinghlab) shares what his team learned from studying a sepsis prediction tool. Hear more from Dr. Singh: https://t.co/fKMIiGfHTV
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I'm 😎 gonna rewrite 👨💻 it all 😂 in @JuliaLanguage 🤌 this year 🐍, don't tell anyone 🤫
Why don't modern C++ HFT shops simply use Zig? Are they stupid?
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@zakkohane @kdpsinghlab @JuliaLanguage ‘despite an unpleasant @JuliaLanguage fetish’ I truly think this is the first time these words have ever been used in this specific sequence
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@cyrilzakka @zakkohane @kdpsinghlab @JuliaLanguage Zak’s entropy remains undefeated (best of luck to future fine-tuned LLMs)
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I have only recently started @JuliaLanguage more seriously, thanks to a new project that is heavy on convex optimization. If you come from Python and/or R, this is a must when it comes to how you should organize the project: https://t.co/qX1vIw6PgL
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Missing an Easter-egg function in Julia? Try my WhyJulia. Every time you call why(), it prints a random witty statement — sometimes profound, often nonsensical, but always entertaining. https://t.co/ng3CIBDlRe
#JuliaLang #JuliaLanguage
#JustKidding #fun
#computing
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@mhsatman @JuliaLanguage Julia handles both well. For random forest classification, DecisionTree.jl or MLJ.jl (with scikit-learn integration) provide efficient implementations, ideal for social science data analysis. For symbolic regression in engineering optimization, SymbolicRegression.jl excels at
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This is an example of how Nix can be useful for data analysis: a project that uses @JuliaLanguage #Python and #RStats in which #Nix is used to set up the dev env in a reproducible way, and is also used as build automation tool to orchestrate the codebase
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Julia convinces you that vectorization was just a phase! #julialanguage #computing #coding #programming
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@mhsatman @JuliaLanguage Yes, Julia has excellent visualization packages. Plots.jl offers flexible, backend-agnostic plotting for quick charts. Makie.jl provides high-performance, interactive 2D/3D viz, great for large datasets. Gadfly.jl follows a grammar-of-graphics approach like ggplot2. Which type
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🚀 Introducing SymBasis.jl: Easily generate symmetry-preserving bases for quantum many-body systems—custom or predefined symmetries, simple interface, minimal effort. #JuliaLang @JuliaLanguage #Physics #ScientificComputing
https://t.co/rCdGO0qmoc
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💎Keep an eye on this — could be something big.💎 If market conditions hold, this could gain serious traction. Why?❓ 🔥-Code in @JuliaLanguage 🔥-Swarm on @BuildOnJulia 🔥-OG from $JOS 🔥-S-Tier devs and team @TensorLabsAI 🤜🤛
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The @JuliaLanguage developers are pleased to announce that the first release candidate for Julia v1.11.0 is live! While not completely production-ready, it is intended to give users a chance to try out their code with 1.11.0 prior to a full release. Good luck on the full launch!
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Hot take: @Modular mojo is like @JuliaLanguage, but allows you to build executable binaries easily. On the flip side, Julia has been around for longer, has a more open development process and I don't have to google much to write a working bubble sort.
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