python-barcode-qrcode-sdk
cibuildwheel
python-barcode-qrcode-sdk | cibuildwheel | |
---|---|---|
5 | 8 | |
46 | 1,726 | |
- | 0.9% | |
0.0 | 9.3 | |
over 1 year ago | 3 days ago | |
C | Python | |
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.
python-barcode-qrcode-sdk
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How to Run ARM32 and ARM64 Python Barcode Reader in Docker Containers
These are just a few Python barcode SDKs that support ARM32 and ARM64 architectures. Dynamsoft Barcode Reader is the only commercial 1D and 2D barcode SDK that provides barcode recognition capabilities for ARM32 and ARM64 devices. This article demonstrates how to create ARM32 and ARM64 emulated environments on Windows to implement barcode scanning with Dynamsoft Python Barcode SDK.
- How to Improve Python Barcode QR Code Scanning Performance on Raspberry Pi
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How to Build Golang Barcode QR Code Reader with Dynamsoft C++ Barcode SDK
This article aims to help Go developers to build barcode QR code reader applications with Dynamsoft C++ Barcode SDK on Windows and Linux. You will see how to interoperate Golang with C++ code using cgo, as well as how to deploy the application to Docker.
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How to Build Linux ARM32 and Aarch64 Barcode QR Scanner in Docker Container
git clone https://github.com/yushulx/python-barcode-qrcode-sdk.git
- Using GitHub Action to Build Python Wheel Package for Dynamsoft C++ Barcode SDK
cibuildwheel
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Balm in GILead: Fast string construction for CPython extensions
It doesn't work with any version of the public API, Limited, Stable, or Unstable, because this is not a part of the API. It's more of an application of [Hyrum's Law](https://www.hyrumslaw.com/).
That said, assuming the structures themselves exist on the versions of Python you're targeting in a format compatible with whatever hacking you're doing on them, it's very easy to compile for lots of Python versions using [cibuildwheel](https://github.com/pypa/cibuildwheel) and the rest of the PyPA ecosystem.
I don't think the Limited API is very useful, as a practical matter for the common distribution methods you need the wheel to be built with the target Python version.
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Rip – Rust crate to resolve and install Python packages
pypa/cibuildwheel: https://github.com/pypa/cibuildwheel :
> Example setup: To build manylinux, musllinux, macOS, and Windows wheels on GitHub Actions, you could use this .github/workflows/wheels.yml
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Bundling binary tools in Python wheels
> size of wheels you can upload is constrained by PyPi
I feel PyPi is pretty generous with their limits. You can even request more once you hit the ceiling, i think it’s around 60MB [1]. There are some wheels that are crazy large, tensorflow-gpu [2] are around 500MB each. I think there’s discussions out there to try and find ways of alleviating this problem on PyPi.
> difficult to support multiple versions across multiple operating systems, unless you provide a source distribution, which is then…
This can be a problem but I’ve found that recently the problem has improved quite a lot. You can create manylinux wheels for both x86, x64, and arm64 which cover pretty a lot of the Linux distributions using glibc. A musllinux tag was recently added to cover musl based distributions like Alpine. MacOS wheels support both x64, arm64, and can even be a universal2 wheel. Windows is still purely x86 or x64 for now but I’ve seen some people work on arm64 support support in CPython and once that’s in I’m sure PyPi won’t be too far around. There are also some great tools like cibuildwheel [3] that make building and testing these wheels pretty simple.
> Still a nightmare on Windows
I’m actually curious what is a nightmare about Windows. I found that Windows is probably the easiest of all the platforms to build and upload wheels for. You aren’t limited to a tiny subset of system libs, like you are on Linux, and building them is mostly the same process. Probably the hardest thing is ensuring you have tue correct vs build kit installed but that’s not insurmountable.
[1] https://pypi.org/help/#file-size-limit
[2] https://pypi.org/project/tensorflow-gpu/#files
[3] https://github.com/pypa/cibuildwheel
- cibuildwheel added support for building wheels on CPython 3.11
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Using GitHub Action to Build Python Wheel Package for Dynamsoft C++ Barcode SDK
Click set up a workflow yourself to create a custom workflow. We can refer to the examples provided by cibuildwheel.
- Cibuildwheel: Build Python wheels for all the platforms on CI
- 🎡 cibuildwheel: Build Python wheels for 55 different platform/CPU/ABI combinations with minimal configuration
What are some alternatives?
scikit-build-sample-projects - Sample projects demonstrating use of scikit-build
tox - Command line driven CI frontend and development task automation tool.