self-contained-runnable-py
DISCONTINUED
awesome-devops
Our great sponsors
self-contained-runnable-py | awesome-devops | |
---|---|---|
3 | 5 | |
- | 1,649 | |
- | - | |
- | 6.0 | |
- | 19 days ago | |
Python | ||
- | Creative Commons Zero v1.0 Universal |
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.
self-contained-runnable-py
-
Underappreciated Challenges with Python Packaging
The approach I prefer is to not mess with setuptools etc at all in the first place, and simply make a nice executable package.
e.g. https://github.com/tpapastylianou/self-contained-runnable-py...
-
How to create a Python package in 2022
The title should be: How to create a "Python DISTRIBUTION package".
The term "python package" means something entirely different (or at the very least is ambiguous in a pypi/distribution context).
To add to the confusion, creating a totally normal, runnable python package in a manner that makes it completely self-contained such that it can be "distributed" in a standalone manner, while still being a totally normal boring python package, is also totally possible (if not preferred, in my view).
Shameless plug: https://github.com/tpapastylianou/self-contained-runnable-py...
-
Show HN: Hatch 1.0.0 – Modern, extensible Python project management
Shameless plug: I use my own template, which organises things as runnable projects.
https://github.com/tpapastylianou/self-contained-runnable-py...
It serves my purposes very well (which is creating projects that represent standalone experiments).
Sharing in case someone else here finds it useful.
More recently I've modified this a bit to also generate nice html reports straight from the __main__.py file, independently of the underlying python code, and use this as lab books (where each lab book contains a single analysis and its report). I'll upload this template separately when I find the time.
awesome-devops
-
15 DevOps and SRE Tools you Should Know About in 2023
github.com/wmariuss/awesome-devops
-
How to create a Python package in 2022
Not necessarily, it just depends on how invested you are in the CI/CD pipeline for any given project, your preferences regarding self-hosting vs. cloud, and the amount of time you have to dedicate to the subject.
Strictly speaking, any tool or set of tools that allow you to trigger building & deploying/publishing artifacts in response to source control commits can be used to build a CI/CD pipeline. One could write bash scripts linked to a cron job that pulls a remote repository every n minutes and then performs some scripted actions to integrate changes between branches before building & publishing the artifact to a local SFTP server.
If you prefer a more mature solution with better documentation however, there is a (non-exhaustive) list of CI/CD tools on this awesome-devops list:
https://github.com/wmariuss/awesome-devops#continuous-integr...
- free resources
What are some alternatives?
awesome-oss-alternatives - Awesome list of open-source startup alternatives to well-known SaaS products 🚀
d2-vscode - VSCode extension for D2 files.
tox-poetry-installer - A plugin for Tox that lets you install test environment dependencies from the Poetry lockfile
cli-apps - The largest Awesome Curated list of CLI/TUI applications with source data organized into CSV files
devops-exercises - Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
pip-audit - Audits Python environments, requirements files and dependency trees for known security vulnerabilities, and can automatically fix them
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
awesome-recruitment - List of my favourite recruitment things 💫
awesome-sre-tools - A curated list of Site Reliability and Production Engineering Tools
signoz - SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open source Application Performance Monitoring (APM) & Observability tool
hatch - Modern, extensible Python project management