pybind11
xeus-cling
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pybind11 | xeus-cling | |
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42 | 15 | |
14,626 | 2,913 | |
1.8% | 1.6% | |
8.7 | 5.3 | |
6 days ago | 3 months ago | |
C++ | C++ | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" 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.
pybind11
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Experience using crow as web server
I'm investigating using C++ to build a REST server, and would love to know of people's experiences with Crow-- or whether they would recommend something else as a "medium-level" abstraction C++ web server. As background, I started off experimenting with Python/FastAPI, which is great, but there is too much friction to translate from pybind11-exported C++ objects to the format that FastAPI expects, and, of course, there are inherent performance limitations using Python, which could impact scaling up if the project were to be successful.
- Swig – Connect C/C++ programs with high-level programming languages
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I created smooth_lines python module, great for drawing software
This is based on the Google Ink Stroke Modeler C++ library, and using pybind11 to make it available on python.
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Using pybind11 with minGW to cross compile pyhton module for Windows
I have a python module for which the logic is written in C++ and I use pybind11 to expose the objects and functions to Python.
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IPC communication between rust, c++, and python
Reading from Python requires a wrapper, using pybind11 this is fairly done.
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Is Pycharm an okay IDE to use?
That said, if you need to write a Python module in a compiled language, it's much easier and more fun these days to write in C++. pybind11 is extremely mature and even fun system to write Python objects in C++.
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Roast my resume
There will be specific technologies you used in your data pipelining: Parquet? Did you use Pandas to manipulate your data? Did you optimise some aspects with C++? If so did you use PyBind11 to integrate it?
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Pybind11 error | Compatibility and/or Linker issue | Mac M1 (But running X86_64 using Rosetta 2)
git clone https://github.com/pybind/pybind11.git
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How to make C++ communicate with Python?
I would say that pybind11 is precisely what you want here. If you don’t want to write the bindings yourself, you could try Tolc.
Pybind11 https://github.com/pybind/pybind11 is an easy way to expose c++ functions in python.
xeus-cling
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Interactive GCC (igcc) is a read-eval-print loop (REPL) for C/C++
More recent activity, but based on clang: https://github.com/jupyter-xeus/xeus-cling https://github.com/root-project/cling
Xeus-cling is a Jupyter Kernel for C/C++: https://github.com/jupyter-xeus/xeus-cling#a-c-notebook
With xeus-cling Jupyter Kernel for C/C++, variable redefinitions in subsequent cells do not raise a compiler warning or error.
There's JsRoot, which may already work with JupyterLite in WASM in a browser tab?
There's a ROOT kernel for Jupyter, too.
IDK if there are Apache Arrow bindings for ROOT?; though there certainly are for C/C++, Python, and other languages
You must install jupyter_console to use Jupyter kernels from the CLI like IPython with ipykernel.
In addition to IPython/Jupyter notebook, jupyterlab, vscode, and vscode.dev+devpod;
awesome-cpp#debug:
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TermiC: Terminal C, Interactive C/C++ REPL shell created with BASH
If you like interactive c/c++, how a look at https://github.com/jupyter-xeus/xeus-cling, that allow you to run the c/c++ repl in Jupyter, either in web interface, and terminal interfaces.
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IDE for CPP(leetcode)
There are Cpp intepreters like Cling. There are even cpp notebooks like https://github.com/jupyter-xeus/xeus-cling. If that's an "IDE" it's questionable
- How does 3[a] gives the element at index 3 in an array?
- Changing std:sort at Google’s Scale and Beyond
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Jupyter refuses C++
Links I tried and failed:https://github.com/jupyter-xeus/xeus-cling
- Turns Jupyter notebooks into standalone web applications and dashboards
- 10 year matplotlib/python programmer coming to c++, tips for being more productive?
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Version 1.1.0 matplotplusplus released
Looks great! Any thoughts/plans about integration with the Jupyter ecosystem? Being able to use this library from xeus-cling would be awesome.
What are some alternatives?
PyO3 - Rust bindings for the Python interpreter
nanobind - nanobind: tiny and efficient C++/Python bindings
Optional Argument in C++ - Named Optional Arguments in C++17
setuptools-rust - Setuptools plugin for Rust support
PEGTL - Parsing Expression Grammar Template Library
sol2 - Sol3 (sol2 v3.0) - a C++ <-> Lua API wrapper with advanced features and top notch performance - is here, and it's great! Documentation:
sparsehash - C++ associative containers
py2many - Transpiler of Python to many other languages
dynamic_bitset - Simple Useful Libraries: C++17/20 header-only dynamic bitset
wasmtime - A fast and secure runtime for WebAssembly
cpp-subprocess - Subprocessing with modern C++
LSHBOX - A c++ toolbox of locality-sensitive hashing (LSH), provides several popular LSH algorithms, also support python and matlab.