Julia Reviews and details

Social recommendations and mentions

• Ask HN: Does Your GitHub Repo Need a Landing Page

  I'm really not fond of that agpt landing page. So many red flags; the AI-generated background, mailing letter box with accompanying email-beggar text, the Discord button (!!!) being given as much space as the Github repo click-through... it's a mess. The whole website feels more boilerplate than content. I mean, look at these quotes! > With the help of the incredible open-source community, we’re making... - Source: Hacker News / 8 months ago

• Why are there no ROS2 bindings for Julia(lang)?

  I’m wondering if there are any attempts for a ROS2 client library for Julia(lang)? I very much like the concepts of Julia and would like to use it in my robotics applications. I believe, that writing code in Julia is very efficient and productive. As a robotics engineer and researcher, I would definitively appreciate the possibility to use ROS2 with Julia. Source: 9 months ago

• AskScience AMA Series: We've identified subsets of Long COVID by blood proteins, ask us anything!

  Kevin is a senior research scientist (read: fancy postdoc) at Wellesley College. He has a PhD in immunology, but transitioned to microbial genomics after graduate school, and now spends most of his time writing code (ask me about julia). His first postdoc was looking at the microbes that grow on the outer surface of cheese (it's a cool model system for studying microbial communities - here's the paper) and now... Source: 9 months ago

• Any Good Alternatives for Matlab?

  Julia is a great alternative in terms of raw speed/performance (not a compatible language). Source: 10 months ago

• What Apple hardware do I need for CUDA-based deep learning tasks?

  If you are really committed to running on Apple hardware then take a look at Tensorflow for macOS. Another option is the Julia programming language which has very basic Metal support at a CUDA-like level. FluxML would be the ML framework in Julia. I’m not sure either option will be painless or let you do everything you could do with a Nvidia GPU. Source: 11 months ago

• I feel that matlab remain N°1 in control software with no equivalent in python

  Have you considered Julia? https://julialang.org/. Source: 12 months ago

• Which one is best for numerical simulations for fluid mechanics [mostly linear terms].

  If you want C performance in a high level language I'd recommend Julia: https://julialang.org which is build with numerical computing as a main focus. The Julia syntax is very similar to Matlab, but it's a proper programming language (unlike Matlab). Source: 12 months ago

• Manifest.toml vs Project.toml in Julia

  Although you may not have heard of it, the Julia programming language has caused a stir in the development community. Born in 2012, the speedy and easy-to-use language has recently become a favorite among machine learning and AI researchers, some of which are wondering if this could be the underdog that soon usurps Python. Source: about 1 year ago

• Julia for biologists (Nature Methods)

  Julia itself is a free and open source language. It is MIT licensed and the copyright is owned by the contributors as mentioned in https://github.com/JuliaLang/julia/blob/master/LICENSE.md, which is collectively almost 1,400 people, the vast majority of which are not associated with JuliaHub. Source: about 1 year ago

• Show HN: Codon: A Compiler for High-Performance Pythonic Applications and DSLs [pdf]

  It depends on the nature of your compute. If it is dominated by IO, or if you are actually calling native libraries (like `numpy` does, or it is something that is handled by `arrow`), there is no reason to switch away from Python. If you are writing custom algorithms, I think https://julialang.org/ is a great option. - Source: Hacker News / about 1 year ago

• Brett Slatkin: Why am I building a new functional programming language?

  Without articulating what particular tradeoffs the author is balancing and sounding like they only recently realized/discovered the parallelism advantage possible to functional programming languages and paradigms, it is hard to know for sure, but I might venture a guess that Julia will be superior to what they build: https://julialang.org. - Source: Hacker News / about 1 year ago

• [D] Assistance Requested: Learning Deep Learning for Graduate Studies in Bioengineering

  On the flip side, if you intend to use anything more sophisticated than a vanilla feedforward or convolutional neural net, the Python frameworks are pretty much going to be your only practical choice. You might also consider using Julia, which may have more familiar syntax if you've used Matlab primarily. Source: about 1 year ago

• Why Python keeps growing, explained

  You should check out Julia (https://julialang.org/), that's very close to what you describe. - Source: Hacker News / about 1 year ago

• Any help or tips for Neural Networks on Computer Clusters

  However, if you are writing numerical code in Fortran and want to be able to better interface it it with machine learning tools and methods, the number one thing I can recommend is to look into Fortran-based automatic differentiation tools. This will enable you to calculate exact derivatives of your code, which are useful to have for training and optimization loops. You can also look into f2py and f90wrap for... Source: about 1 year ago

• Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service

  Julia is a general purpose programming language well suited for numerical analysis and computational science. Sometimes it's stated as a future of machine learning and the most natural replacement for Python in this field. - Source: dev.to / about 1 year ago

• any modern procedural programming languages?

  "dynamically/JIT compiles to LLVM then machine code": but that doesn't define a DSL as far as I know, I don't know Julia (just in my list of wanna learn it) but it does seem to be a full blow programming language https://julialang.org/. Source: about 1 year ago

• Inventory Run Out in dplyr or data.table

  As an alternative to programmer oriented languages like C++, Julia (https://julialang.org/) is designed to be a data-science oriented language. It has no complicated topics like pointers, references, etc. It is also dynamically typed (just like R so you do not need to explicitly type every variable) but compiled on the fly so you get similar performance with C++ (albeit with a few seconds of start time to... Source: about 1 year ago

• Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges

  In addition to Structured Query Language(SQL), we can also use a variety of different programming languages, such as Python, Java, JavaScript, R, Julia, Scala, or any other programming language as long as it supports a basic database connection and functions to perform all of those operations, to connect to databases and perform more advanced query operations on the data. This gives us greater flexibility and... - Source: dev.to / over 1 year ago

• I am considering returning to attempt another Mathematics M.Sc after failing my first one. I have a few questions to anyone who is willing to listen.

  A state-of-the-art programming language for applied mathematics: https://julialang.org. Source: over 1 year ago

• Why isn’t Go used in AI/ML?

  The Julia folk are trying to build a competitor. They’ve made a promising start but the Python ecosystem and is hard to beat. Also it’s a great REPL environment many data science folk like. Source: over 1 year ago

• Advice on using Calculus in real time

  I would suggest studying numerical analysis. Timothy Sauer's book Numerical Analysis (example link) is a good place to start. It has Matlab exercises, but you can use Julia instead if the Matlab license is too expensive. The languages are very similar. Source: over 1 year ago