The `test-stages` library provides command-line tools that wrap Python test environment runners such as Tox or Nox, invoking them so as the various tests are run in parallel, in groups, as specified on the command line. This allows the fastest tests to be run first, and the slower ones to only be started if it makes sense (e.g. if tools like ruff or flake8 did not uncover any trivial syntax errors).

The `test-stages` library provides command-line tools that wrap Python test environment runners such as Tox or Nox, invoking them so as the various tests are run in parallel, in groups, as specified on the command line. This allows the fastest tests to be run first, and the slower ones to only be started if it makes sense (e.g. if tools like ruff or flake8 did not uncover any trivial syntax errors).

Data::Fake generates randomized, fake structured data using declarative syntax.

Make your code cells interactive with a kernel provided by Thebe and Binder. It uses the excellent thebe project, and pre-configures thebe to be compatible with common Jupyter-related patterns in the Sphinx ecosystem, such as MyST-NB.

This package provides scripts and services improving the behaviour of Qualcomm-based mobile phones running Debian GNU/Linux.

This library provides an interface to obtain solar production forecasts for solar panel systems. Utilizing data from weather forecasts and historical solar production, it estimates the energy output your solar panels will generate. The estimates take into account various attributes such as the location, declination, azimuth, and total power capacity of your solar panels. The service includes predictions for energy production on a daily and hourly basis, as well as identifying peak production times. These predictions can be useful for planning energy usage, optimizing the performance of your solar panel system, and making informed decisions about energy consumption patterns.