Based on our record, WinPython should be more popular than Buildah. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
STEP 1: Python on Windows What to install Download and install WinPython from https://winpython.github.io. I researched Python on Windows and in very short order understood that WinPython is the way to go. While it’s stated audience is scientists, data scientists and education, it fully serves the needs of personal projects. Also, it is available as a portable distribution with no requirement to register with... - Source: dev.to / about 1 month ago
How can I use the portable version of winpython from https://winpython.github.io to configure into qbittorrent to detect the runtime pre-requisites so that my portable qbittorent search can work? Thx in advanced. #portablepython. Source: about 1 year ago
You equally are barred from e.g., WinPython which can work without an installation into the OS, too? Then - mechanically speaking - it wouldn't matter that the USB ports are permanently plastered with some polymer. Source: about 1 year ago
Thank for answering. I understand that the interpreter situation can be annoying. There is WinPython [0] to circumvent that to some degree. I feel like if I don’t do it the „VSCode and py-file“ way, it’ll be more and more difficult to keep everything together when teaching about modularity and putting functions in helper scripts, putting tests in other directories and such. I think it’s just because I got used to... - Source: Hacker News / over 1 year ago
One option would be to use a portable Python runtime. Like this one: https://winpython.github.io/. Source: over 1 year ago
In my experience, not using docker to build docker images is a good idea. E.g. buildah[0] with chroot isolation can build images in a GitLab pipeline, where docker would fail. It can still use the same Dockerfile though. If you want to get rid of your Dockerfiles anyway, nix can also build docker images[1] with all the added benefits of nix (reproducibility, efficient building and caching, automatic layering,... - Source: Hacker News / 7 months ago
Buildah: This lightweight, open-source command-line tool for building and managing container images. It is an efficient alternative to Docker. With Buildah, you can build images in various ways, including using a Dockerfile, a podmanfile or by running commands in a container. Buildah is a flexible, secure and powerful tool for building container images. - Source: dev.to / 12 months ago
When I saw the title I thought it was going to be about `buildah` [1][2] Which allows you to create images using the command line to build them up step-by-step. [1] https://buildah.io/. - Source: Hacker News / over 1 year ago
Buildah is a "tool that facilitates building OCI images" of Containers. If it is not installed, podman system migrate will print out the warning:. - Source: dev.to / over 1 year ago
Technically, nothing stops you from building containers without running Docker's Linux VM. After all it's just a file as any other with a known format. I'm not sure though if it's worth the trouble. There are tools for building images other than Docker but I never used any of those and don't know if they are standalone or are wrappers around Docker. Buildah is one of them. Source: over 1 year ago
Portable Python - Minimum bare bones portable python distribution with PyScripter as development environment.
Podman - Simple debugging tool for pods and images
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
containerd - An industry-standard container runtime with an emphasis on simplicity, robustness and portability
Anaconda - Anaconda is the leading open data science platform powered by Python.
Crane - Crane is a docker image builder to approach light-weight ML users who want to expand a container image with custom apt/conda/pip packages without writing any Dockerfile.