Python-docker
PyQt-Project
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Python-docker | PyQt-Project | |
---|---|---|
17 | 1 | |
2,461 | 0 | |
1.6% | - | |
8.3 | 0.0 | |
20 days ago | almost 3 years ago | |
Shell | Python | |
MIT License | GNU General Public License v3.0 only |
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-docker
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Containers Demystified 🐳🤔
This defines which image to inherit from, In this case we are using a Python image with the Python 3.11 version running on a slim version of the Bookwork version of Debian linux. Image definitions can be viewed from the DockerHub TAG link such as the python:3.11-slim-bookworm and official images like this one typically have pretty complicated definitions in order to get them highly optimized.
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Ask HN: Why is there no major push towards Android for Servers and Desktops?
> You are going to eventually run into the same issue most people trying to use Alpine Linux just because of simplicity and being lightweight run: musl is not a completely ABI-compatible seamless replacement to glibc and might cause issue with statically linked binaries, and other annoying issues you won't foresee.
Well, if all you need is the server to run Docker/Podman, SSH and some other limited amount of packages, it shouldn't be too bad. Of course, there are also horror stories of Alpine resulting in way worse performance in select use cases: https://github.com/docker-library/python/issues/509 and there's the fact that Alpine might be popular inside of containers, but way less so outside.
Also, because of the short EOL cycle, I personally ditched Debian on servers (and Alpine in containers) myself for Ubuntu everywhere: https://blog.kronis.dev/articles/using-ubuntu-as-the-base-fo... A bit of a polarizing move (though RPM distros aren't much better at the moment), but it seems to have worked out for me in the end.
Doesn't mean that someone can't try, though, maybe their use case is suitable for Alpine.
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What is the point of intermediate CMD layers in Docker images?
This is the actual raw Dockerfile: https://github.com/docker-library/python/blob/master/3.9/slim-bullseye/Dockerfile
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Imaging ADO build agent with python dependencies installed
I usually cannibalize Docker Community's examples: Here
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Why does the official Docker image of Python not create a user but the node one does?
Official Docker image of Python 3.10.5-slim
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Installing python inside docker container
If you want Python v3.7, perhaps try FROM python:3.7 (link)
- Latest Python 3.9/3.8 images break encoding
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Installing Python3 in Linux
Navigate into the Python directory and configure and ensure enable-optimization option is added as shown in the command below.
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I can't run pip for the docker build
It looks like you are running into this bug: https://github.com/docker-library/python/issues/674
- We don't have any control over the signing process of Docker images we publish
PyQt-Project
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Installing Python3 in Linux
Python contains a variety of Graphical User Interface (GUI) frameworks that are being used by developers to create interactive windows and widget controls. The libraries include: PyQt, Kivy, Tkinter and wxPython. For a sneak peek on GUI development with PyQt, please refer to my GitHub repository on PyQt Interfaces and Desktop To-do list.
What are some alternatives?
setuptools - Official project repository for the Setuptools build system
Django - The Web framework for perfectionists with deadlines.
WhatsApp-Scraping - Python script to get WhatsApp iformation frrom WhatsApp Web
kivy - Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
pymodbus - A full modbus protocol written in python
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
tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
Pyramid - Pyramid - A Python web framework
FFXIV-Craft - An FFXIV Queue Crafting System/manager
NumPy - The fundamental package for scientific computing with Python.
ismrmrd-python - Python API for the ISMRMRD file format
simple_to-do_list - A simple to do list application for your desktop.