SWIG
NumPy
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SWIG | NumPy | |
---|---|---|
25 | 272 | |
5,479 | 26,231 | |
1.0% | 1.4% | |
9.8 | 10.0 | |
7 days ago | 6 days ago | |
C++ | Python | |
GNU General Public License v3.0 or later | 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.
SWIG
- Swig – Connect C/C++ programs with high-level programming languages
- Using Lua with C++
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Purego – A library for calling C functions from Go without Cgo
How is this any different than a mature tool such as SWIG (https://www.swig.org/)?
I've used SWIG extensively with Python to call C code and import C headers for testing/tooling purposes.
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How does Golang communicate with C++?
For pure C, CGO. For C++ they are likely creating shims with Swig: https://www.swig.org/
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I feel really dumb whenever I take a coding test for a job
I mostly write in C and C++ so for language bindings I use Swig a lot. Say Im creating a machine learning library in C++, its very easy to create a Python API that can call the C++ classes and methods using Swig. iirc, I am using the same swig interface file to create bindings for Python, OCaml, R and even Fortran. Feel free to DM me if you got any more questions or anything!
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Is there a way to use a c++ project in a python project?
Swig can make c++ types and functions available to python.
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Boxflow - A universal layout engine written in Zig
The likes of SWIG is often used to link C library-like code to 11-ish other widely used languages.
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How do SWIG and LLVM compare as language ecosystems?
But, you might find these links interesting: * https://github.com/swig/swig/issues/918 * https://github.com/kaby76/swigged.llvm
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Recommendation for software to aid with creating a C# wrapper around a c++ library
Or take a look at the tools CppSharp or SWIG, s.a. Example for SWIG to wrap C++ library in .Net 6.
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Is there a compiler that can compile source code into a bunch of source codes for different platforms?
This sounds a bit like SWIG. You give SWIG an "interface file" describing the API of a library, and it uses that to spit out a bunch of language-specific bindings for that library.
NumPy
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Dot vs Matrix vs Element-wise multiplication in PyTorch
In NumPy with @, dot() or matmul():
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Element-wise vs Matrix vs Dot multiplication
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication.
- JSON dans les projets data science : Trucs & Astuces
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JSON in data science projects: tips & tricks
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:
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Introducing Flama for Robust Machine Learning APIs
numpy: A library for scientific computing in Python
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Why do all the popular projects use relative imports in __init__ files if PEP 8 recommends absolute?
I was looking at all the big projects like numpy, pytorch, flask, etc.
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NumPy 2.0 development status & announcements: major C-API and Python API cleanup
I wish the NumPy devs would more thoroughly consider adding full fluent API support, e.g. x.sqrt().ceil(). [Issue #24081]
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Beginning Python: Project Management With PDM
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example I've decided to expand our math functionality with NumPy. pdm add is what's used to add dependencies like this to our project:
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Building an efficient sparse keyword index in Python
Large computations in pure Python can also be painfully slow. Luckily, there is a robust landscape of options for numeric processing. The most popular framework is NumPy. There is also PyTorch and other GPU-based tensor processing frameworks.
What are some alternatives?
SymPy - A computer algebra system written in pure Python
cffi
CppSharp - Tools and libraries to glue C/C++ APIs to high-level languages
Cython - The most widely used Python to C compiler
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
JavaCPP - The missing bridge between Java and native C++
djinni
JNA - Java Native Access
libffi - A portable foreign-function interface library.
SciPy - SciPy library main repository
blaze - NumPy and Pandas interface to Big Data
PyCUDA - CUDA integration for Python, plus shiny features