Using YAML as the base configuration format allows me to define structured defaults that are easy to read, maintain, and version-control. Environment variables then handle dynamic values for environment-specific customisations, with custom logic to support default values for additional flexibility.
Typer is a library for building CLI applications that users will love using and developers will love creating. Based on Python type hints.
It's also a command line tool to run scripts, automatically converting them to CLI applications.
The key features are:
- Intuitive to write: Great editor support. Completion everywhere. Less time debugging. Designed to be easy to use and learn. Less time reading docs.
- Easy to use: It's easy to use for the final users. Automatic help, and automatic completion for all shells.
- Short: Minimize code duplication. Multiple features from each parameter declaration. Fewer bugs.
- Start simple: The simplest example adds only 2 lines of code to your app: 1 import, 1 function call.
- Grow large: Grow in complexity as much as you want, create arbitrarily complex trees of commands and groups of subcommands, with options and arguments.
- Run scripts: Typer includes a typer command/program that you can use to run scripts, automatically converting them to CLIs, even if they don't use Typer internally.
A simple and easy-to-use OIDC provider that allows users to authenticate with their passkeys to your services.
Transitous is a community-run provider-neutral international public transport routing service.
Using openly available data and a FOSS routing engine we operate a free to use routing service that does not stop at borders.
Hello there. Hope you are doing well. Lately, I have been playing with a neat piece of software called EWW. Making some aesthetic UI, widgets and whatnot.
Note that, this has a very steep learning curve. This is because tutorials, demo and examples about this are quite scarce. And the examples are either too complex or, very poorly documented and not to mention most of them are not even documented.
Music Player Daemon (MPD) is a flexible, powerful, server-side application for playing music. Through plugins and libraries it can play a variety of sound files while being controlled by its network protocol.
A self-hosted bookmark manager designed to be minimal, fast, and easy to set up
Die Beziehung zwischen dem Darmmikrobiom und dem Gehirn ist ein spannendes Thema der aktuellen Forschung – nicht nur beim Menschen, sondern auch bei Hunden. Diese sogenannte Darm-Hirn-Achse beschreibt eine komplexe, bidirektionale Kommunikation zwischen dem Darm und dem zentralen Nervensystem, die das Verhalten, die Stimmung und sogar die Kognition von Hunden beeinflussen kann. Eine gesunde Ernährung, die das Mikrobiom unterstützt, spielt dabei eine entscheidende Rolle.
Das Mikrobiom: Was es ist und warum es wichtig ist
Das Mikrobiom ist die Gesamtheit aller Mikroorganismen, die den Darm eines Hundes besiedeln. Es besteht aus Billionen von Bakterien, Viren, Pilzen und anderen Mikroorganismen, die eine wichtige Rolle bei der Verdauung und der Nährstoffaufnahme spielen. Darüber hinaus beeinflusst das Mikrobiom auch das Immunsystem und die Gehirnfunktion, insbesondere durch die Produktion von Neurotransmittern und entzündungshemmenden Stoffen, die über die Darm-Hirn-Achse auf das Gehirn wirken.
Ein stabiles und vielfältiges Mikrobiom ist entscheidend für die allgemeine Gesundheit des Hundes. Eine Dysbiose, also ein Ungleichgewicht der Darmmikroben, wird mit verschiedenen Krankheiten und Verhaltensstörungen in Verbindung gebracht.
With ansible-builder you can configure and build portable, consistent, customized Ansible control nodes that are packaged as containers by Podman or Docker. These containers are known as execution environments. You can use them on AWX or Ansible Controller, with Ansible Navigator, for local playbook development and testing, in your CI pipelines, and anywhere else you run automation.
You can design and distribute specialized execution environments for your Ansible content, choosing the versions of Python and ansible-core you want, and installing only the Python packages, system packages, and Ansible collections you need for your tasks.
Ansible Runner is a tool and python library that helps when interfacing with Ansible directly or as part of another system whether that be through a container image interface, as a standalone tool, or as a Python module that can be imported. The goal is to provide a stable and consistent interface abstraction to Ansible. This allows Ansible to be embedded into other systems that don’t want to manage the complexities of the interface on their own (such as CI/CD platforms, Jenkins, or other automated tooling).
Topics
An extremely fast Python package and project manager, written in Rust.
Shows a bar chart with benchmark results.
Installing Trio's dependencies with a warm cache.
Highlights
🚀 A single tool to replace pip, pip-tools, pipx, poetry, pyenv, twine, virtualenv, and more.
⚡️ 10-100x faster than pip.
🗂️ Provides comprehensive project management, with a universal lockfile.
❇️ Runs scripts, with support for inline dependency metadata.
🐍 Installs and manages Python versions.
🛠️ Runs and installs tools published as Python packages.
🔩 Includes a pip-compatible interface for a performance boost with a familiar CLI.
🏢 Supports Cargo-style workspaces for scalable projects.
💾 Disk-space efficient, with a global cache for dependency deduplication.
⏬ Installable without Rust or Python via curl or pip.
🖥️ Supports macOS, Linux, and Windows.
A environment management tool for Ansible content development that provides isolated workspaces for development. ansible-dev-environment (ade) manages virtual environments, collection installation and removal, and Python dependency resolution to ensure consistent, reproducible development environments.
Overview
ansible-dev-environment (ade) provides comprehensive collection development environment management by:
- Creating isolated virtual environments
- Installing and removing collections with full dependency tracking
- Resolving and installing collection Python dependencies from requirements.txt and test-requirements.txt
- Installing collections in editable mode with symlinks for active development
- Managing development dependencies like ansible-dev-tools
- Providing configurable workspace isolation
While ansible-galaxy efficiently manages collection installation and dependencies, it does not handle Python package dependencies that collections may require. ade complements this by ensuring all Python requirements are properly managed within isolated environments.
Collections are installed into Python's site-packages directory, making them discoverable by both Ansible and Python tooling including pytest.
This table links to the changelogs for each major ansible-core release. These changelogs contain the dates and significant changes in each minor release. Dates listed indicate the start date of the maintenance cycle.
🐝 Why Flyoobe?
Originally, Flyby11 was a simple patcher to remove the restrictions stopping you from installing Windows 11 (24H2) on unsupported hardware.
Old PC? No TPM, no Secure Boot, unsupported CPU? Flyby11 let you install Windows 11 anyway.
After helping thousands upgrade, one thing became clear:
Bypassing checks is only half the battle.
We needed a full setup solution — one that respects user choices instead of Microsoft's defaults.
Flyoobe was the next step:
- Skip the fluff
- Remove the junk
- Take full control from first boot
Because your PC should work for you, not the other way around.
Flyoobe keeps the original idea alive and pushes it even further.
InfluxDB 2.7 is the platform purpose-built to collect, store, process and visualize time series data. Time series data is a sequence of data points indexed in time order. Data points typically consist of successive measurements made from the same source and are used to track changes over time. Examples of time series data include:
- Industrial sensor data
- Server performance metrics
- Heartbeats per minute
- Electrical activity in the brain
- Rainfall measurements
- Stock prices
This multi-part tutorial walks you through writing time series data to InfluxDB 2.7, querying that data, processing and alerting on the data, and then visualizing the data.
Leistenblitz: Fußleisten online bestellen
Liebst Du auch den Duft von frisch geschnittenem Holz? Das Gefühl, wenn Du mit den Fingern über eine gehobelte Leiste fährst, die Weichheit und Wärme des Holzes spürst? Genau, wir auch! Und deswegen bist Du bei uns richtig!
Der Großteil der Fußleisten bei Leistenblitz kommt von KGM – einem inhabergeführten Familienunternehmen, das mit seinem modernen und visionären Konzept bereits seit fast 50 Jahren begeistert. Wertvolles Fachwissen wurde von Generation zu Generation weitergegeben, Standards kontinuierlich verbessert und das Angebot an Fußleisten fortlaufend erweitert. Das Ergebnis kannst Du bei uns im Shop sehen: ein umfassendes Sortiment mit über 200 Bodenleisten und 20 verschiedenen Profilen. Alles in deutscher Markenqualität.
Seit 2014 teilen wir unsere Leidenschaft für Fußleisten & Leisten mit Dir auch online bei Leistenblitz.de. Mehr als 300.000 Bestellungen haben wir seither erfolgreich abgewickelt und mindestens genauso viele Kunden mit unserem Top-Service bzw. dem schnellen Warenversand glücklich gemacht. Dafür wurden wir bereits auch mehrfach ausgezeichnet.
This assembly language source code represents one of the most historically significant pieces of software from the early personal computer era. It is the complete source code for Microsoft BASIC Version 1.1 for the 6502 microprocessor, originally developed and copyrighted by Microsoft in 1976-1978.
Sometimes tests need to invoke functionality which depends on global settings or which invokes code which cannot be easily tested such as network access. The monkeypatch fixture helps you to safely set/delete an attribute, dictionary item or environment variable, or to modify sys.path for importing.
The monkeypatch fixture provides these helper methods for safely patching and mocking functionality in tests:
- monkeypatch.setattr(obj, name, value, raising=True)
- monkeypatch.delattr(obj, name, raising=True)
- monkeypatch.setitem(mapping, name, value)
- monkeypatch.delitem(obj, name, raising=True)
- monkeypatch.setenv(name, value, prepend=None)
- monkeypatch.delenv(name, raising=True)
- monkeypatch.syspath_prepend(path)
- monkeypatch.chdir(path)
- monkeypatch.context()
All modifications will be undone after the requesting test function or fixture has finished. The raising parameter determines if a KeyError or AttributeError will be raised if the target of the set/deletion operation does not exist.
PostgreSQL High Availability Options: Why PostgreSQL High Availability Matters and How to Achieve It
A Guide to PostgreSQL High Availability
Ensuring your application can handle failures and outages is crucial, and the availability of your application is only as good as the availability of your PostgreSQL instance. With that in mind, you may be wondering which PostgreSQL high availability (HA) deployment option is best for your application.
Let’s review several popular solutions that increase the high availability of PostgreSQL deployments and, as a result, the availability overall of your application. Why several and not one? Well, there’s no silver bullet or one-size-fits-all solution when it comes to high availability and PostgreSQL. So, walk through the options for a highly available deployment of PostgreSQL and then you can make a choice that fits your use case.