PyCall.jl
libffi
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PyCall.jl | libffi | |
---|---|---|
28 | 11 | |
1,438 | 3,053 | |
1.2% | 1.5% | |
6.1 | 7.9 | |
about 2 months ago | about 1 month ago | |
Julia | C | |
MIT License | GNU General Public License v3.0 or later |
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
libffi
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Error when installing .deb
Ok, there is a missing dependency, libffi6, which cannot be installed, because it isn't at repos. You can either install it via downloading from other repos (there is a chance in the debian repo), or via compiling on your own (you can start with paying a visit to official site: https://sourceware.org/libffi/). Either way, move carefully and never forget when a dependency is missing, it may be a start of a "missing dependencies hell". And please, be caution, because you can break your system quite easily.
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Your favorite binding?
I've been working in implementing libffi into Euphoria so we can call Raylib functions directly. Previously, Euphoria did not support passing structures by value and only occasionally could we get away with "faking" it by passing int type values directly (but not float types). Raylib is the first library I've run into that makes heavy use of passing structures by value, so it's been an interesting challenge. My original proof of concept worked well with libffi built as a shared library, so now I'm working on building libffi directly into the backend of Euphoria. Then we'll be off and running with full support for Raylib!
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Compiler...from scratch
I did some more looking around, and I think you should take a look into libffi. It has most of the dirty work done for you, and you can hook it up with your language.
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kivy-ios / initial build with toolchain keeps getting stuck here (checking for suffix of executables...) after updating macOS and xcode... any thoughts? Thanks!
The last line of output is from configure and appears to be during building of libffi recipe - apparently executing the generate-darwin-source-and-headers.py from libffi repository
- Libffi - A portable foreign-function interface library.
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Raspberry Pi 3 Model B+ Guide from Scratch for Home Assistant Core
ok... I did my python 3.9 upgrade on my Rpi3b+ ... here's what I learned: 1) If you're running Debian Buster, you really probably want to upgrade to Bullseye first https://www.tomshardware.com/how-to/upgrade-raspberry-pi-os-to-bullseye-from-buster If you stay on buster, then homeassistant won't start until you build libffi-3.3 as below: 2021-12-29 16:51:14 ERROR (MainThread) [homeassistant.auth.providers] Unable to load auth provider homeassistant: libffi.so.7: cannot open shared object file: No such file or directory https://community.home-assistant.io/t/python-install-on-raspberry-pi-os/241558/12 wget "https://github.com/libffi/libffi/releases/download/v3.3/libffi-3.3.tar.gz" tar zxf libffi-3.3.tar.gz cd libffi-3.3 ./configure sudo make install sudo ldconfig Other than that, it was pretty straightforward. Do be aware that after you redeploy home assistant, a LOT of stuff is happening in the background and it will take a while before everything comes up. Don't freak out. Don't reboot or power cycle. Instead, do this: tail -f /var/log/homeassistant/home-assistant.log and watch the updates
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Installing Python in Ubuntu 20.04
build-essential installs everything required for compiling basic software written in C and C++ in this case Python. Read more... zlib1g-devis the development package of the compression library that implements the deflate compression methods and essential in Python's installation and other installations as well. Read more... libncurses5-dev is the development package for the curses library that provides a terminal-independent screen-painting and keyboard-handling tool. Read more... libgdbm-dev is a development library for GDBM whose functionality is to store key/data pairs in a data file. Read more... libnss3-dev Read more... libssl-dev Read more... libreadline-dev Read more... libffi-dev Read more... libsqlite3-dev Read more... wget Read more... libbz2-dev Read more... In the next step we can either manually download the latest release of Python from the Python Official Release page or use wget which we have installed in previous command. To download using wget, paste the following command in the terminal to download Python in the computer.
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buildozer -v android debug error
[INFO]: -> running basename https://github.com/libffi/libffi/archive/v3.3.tar.gz
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Part 1. Small Intro to SWIG
libffi C library
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Julia ❤ Python
If you have read my earlier posts you know I love multilingual programming. One important part of multilingual programming is how to interface one language with other. Typically this is called FFI or foreign function interface. At the lowest level often there are libraries (aka bindings) to talk across languages or across implementations of same language e.g. libffi. In my undergrad we did a group project where we created language bindings to separate algorithmic part written in python and opencv and X11 logic in c.
What are some alternatives?
py2many - Transpiler of Python to many other languages
SWIG - SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.
Revise.jl - Automatically update function definitions in a running Julia session
djinni
julia - The Julia Programming Language
V8 - The official mirror of the V8 Git repository
Genie.jl - 🧞The highly productive Julia web framework
CppSharp - Tools and libraries to glue C/C++ APIs to high-level languages
are-we-fast-yet - Are We Fast Yet? Comparing Language Implementations with Objects, Closures, and Arrays
Lua - Lua is a powerful, efficient, lightweight, embeddable scripting language. It supports procedural programming, object-oriented programming, functional programming, data-driven programming, and data description.
fast-ruby - :dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.
nelson - The Nelson Programming Language