PyCall.jl
ihp
Our great sponsors
PyCall.jl | ihp | |
---|---|---|
28 | 124 | |
1,438 | 4,219 | |
1.2% | 0.5% | |
6.1 | 9.5 | |
about 2 months ago | 5 days ago | |
Julia | Haskell | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
PyCall.jl
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I just started into Julia for ML
For point 3 you can use https://github.com/cjdoris/PythonCall.jl or https://github.com/JuliaPy/PyCall.jl (and their respective Python sister packages).
- The Mojo Programming Language: A Python Superset Drawing from Rust's Strengths
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Calling Chapel, Carbon, and zig code in Julia
PyCall.jl is really handy. Are there any similar projects for calling Chapel code, or Carbon/zig?
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Am I dumb in thinking I can use Rust as a Fast Python and leave it at that?
Julia and Python interop should not be a problem at all. Actually Julia has one of the best interops I’ve ever seen, so much that swift copied it. https://github.com/JuliaPy/PyCall.jl
- Which tools do you use for python + Data Science?
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I don't want to abandon Rust for Julia
One small note, julia also has great python interop via PyCall.jl
- Faster Python calculations with Numba: 2 lines of code, 13× speed-up
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Interoperability in Julia
It is possible to call Python from Julia using PyCall. Then to install PyCall, run the command in the Julia REPL.
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Why is Python so used in the machine learning?
That said, you can run python modules in Julia. So you can just export your code as a module and then use it in Julia via the PyCall package. short description here github here <— you’d just add the pacakge via the really nice package manager built into julia, but for link for more detailed documentation
- Use rust code in Python with pyo3
ihp
- IHP – The Haskell Framework for Non-Haskellers
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Ask HN: Why are all of the best back end web frameworks dynamically typed?
I found IHP straightforward:
https://ihp.digitallyinduced.com/
despite not remembering much haskell!
This assumes you can get past nix for the install.
I find IHP well-designed. I just wish the licensing scheme were more transparent.
- IHP v1.1.0 has been released 🎉
- IHP Haskell Framework v1.1.0 has been released
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Servant or framework
You can find the docs at https://ihp.digitallyinduced.com/ and some getting started videos at https://www.youtube.com/watch?v=PLl9Sjq6Nzc&list=PLenFm8BWuKlS0IaE31DmKB_PbkMLmwWmG
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Haskell Optimization Handbook
In case this got you interested in Haskell, and you want a good way to start your Haskell journey (and have something to apply the optimization handbook to), check out IHP. It's the Rails/Laravel of the Haskell world. You can start here https://ihp.digitallyinduced.com/Guide/index.html or check it out on GitHub here https://github.com/digitallyinduced/ihp
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Show HN: Algora.io – Open-source development bounties
At IHP we've been using Algora for a while now and it works really great. Here's e.g. one PR that was merged last week with a bounty attached https://github.com/digitallyinduced/ihp/issues/1621 Everything was set up in less than 15 minutes and ioannis and zafer have been super helpful with any questions we had.
In general I think this is a good direction and an interesting take on the open question around sustainable open source. Congrats on the launch and keep up the great work! :)
- Por que Elm é uma linguagem tão deliciosa?
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Any open source projects to contribute to for beginners
You could contribute to IHP! We have some great docs to get started here https://github.com/digitallyinduced/ihp/blob/master/CONTRIBUTING.md And we have some low hanging fruits in GitHub issues for you to get started with, e.g. https://github.com/digitallyinduced/ihp/issues/1601 (also there's always lots of activity in the IHP Slack, in case you have any questions/need help)
- IHP Haskell Framework v1.0.1 has been released
What are some alternatives?
py2many - Transpiler of Python to many other languages
miso - :ramen: A tasty Haskell front-end framework
Revise.jl - Automatically update function definitions in a running Julia session
Ruby on Rails - Ruby on Rails
julia - The Julia Programming Language
haskell-ux - Let's make Haskells error messages helpful :)
Genie.jl - 🧞The highly productive Julia web framework
Phoenix - Peace of mind from prototype to production
are-we-fast-yet - Are We Fast Yet? Comparing Language Implementations with Objects, Closures, and Arrays
ghc-proposals - Proposed compiler and language changes for GHC and GHC/Haskell
fast-ruby - :dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.
purescript-flame - Fast & simple framework for building web applications