semvec/pypi-packages huggingface dataset:
stollpy 0.1.2
Another way to packaging python

# stollpy

(venv) $ bumpver update --minor
INFO - Old Version: 1.0.0
INFO - New Version: 1.1.0

check-manifest
buildstatus appveyor coverage

Are you a Python developer? Have you uploaded packages to the Python Package Index? Have you accidentally uploaded broken packages with some files missing? If so, check-manifest is for you.

Quick start
$ pip install check-manifest

$ cd ~/src/mygreatpackage
$ check-manifest
You can ask the script to help you update your MANIFEST.in:

$ check-manifest -u -v
listing source files under version control: 6 files and directories
building an sdist: check-manifest-0.7.tar.gz: 4 files and dire

|code_ci| |docs_ci| |coverage| |pypi_version| |anaconda_version| |license|

.. note::

    This project contains template code only. For documentation on how to
    adopt this skeleton project see
    https://stollander33.github.io/stollpy-cli

This is where you should write a short paragraph that describes what your module does,
how it does it, and why people should use it.

============== ==============================================================
PyPI `pip install stollpy`
Conda `conda install -c stollander33 stollpy`
Source code https://github.com/stollander33/stollpy
Documentation https://stollander33.github.io/stollpy
Releases https://github.com/stollander33/stollpy/releases
============== ==============================================================

This is where you should put some images or code snippets that illustrate
some relevant examples. If it is a library then you might put some
introductory code here:

.. code-block:: python

    from stollpy import __version__

    print(f"Hello stollpy {__version__}")

Or if it is a commandline tool then you might put some example commands here::

    $

.. |code_ci| image:: https://github.com/stollander33/stollpy/actions/workflows/code.yml/badge.svg?branch=main
:target: https://github.com/stollander33/stollpy/actions/workflows/code.yml
:alt: Code CI

.. |docs_ci| image:: https://github.com/stollander33/stollpy/actions/workflows/docs.yml/badge.svg?branch=main
:target: https://github.com/stollander33/stollpy/actions/workflows/docs.yml
:alt: Docs CI

.. |coverage| image:: https://codecov.io/gh/stollander33/stollpy/branch/main/graph/badge.svg
:target: https://codecov.io/gh/stollander33/stollpy
:alt: Test Coverage

.. |pypi_version| image:: https://img.shields.io/pypi/v/stollpy.svg
:target: https://pypi.org/project/stollpy
:alt: Latest PyPI version

.. |anaconda_version| image:: https://anaconda.org/stollander33/stollpy/badges/version.svg
:target: https://anaconda.org/stollander33/stollpy
:alt: Latest Anaconda version

.. |license| image:: https://img.shields.io/badge/License-Apache%202.0-blue.svg
:target: https://opensource.org/licenses/Apache-2.0
:alt: Apache License

..
Anything below this line is used when viewing README.md and will be replaced
when included in index.rst

See https://stollander33.github.io/stollpy for more detailed documentation.

This is where you should write a short paragraph

This project contains template code only
pickr 0.0.1
Organize and run frequently used commands
Requires Python: >=3.8,<3.12

<p align="center">
  <h1>peaks</h1>
</p>

---

[![Release](https://img.shields.io/github/v/release/fpgmaas/peaks)](https://img.shields.io/github/v/release/fpgmaas/peaks)
[![Build status](https://img.shields.io/github/actions/workflow/status/fpgmaas/peaks/main.yml?branch=main)](https://github.com/fpgmaas/peaks/actions/workflows/main.yml?query=branch%3Amain)
[![Supported Python versions](https://img.shields.io/pypi/pyversions/peaks)](https://pypi.org/project/peaks/)
[![codecov](https://codecov.io/gh/fpgmaas/peaks/branch/main/graph/badge.svg)](https://codecov.io/gh/fpgmaas/peaks)
[![PyPI - Downloads](https://img.shields.io/pypi/dm/peaks)](https://pypistats.org/packages/peaks)
[![License](https://img.shields.io/github/license/fpgmaas/peaks)](https://img.shields.io/github/license/fpgmaas/peaks)

_peaks_ is a command line utility to help you organise and quickly run frequently used commands.

<p align="center">
<img src="docs/peaks.gif"/>
</p>

## Quickstart

### Installation

_peaks_ can be installed by running

```shell
pip install peaks
```

To get started, run

```shell
peaks init
```

which will prompt to add a `peaks/peaks.yaml` file in the user's home directory for global commands, and/or a `peaks.yaml` file in the current directory for commands specific to the current project. 

To use _peaks_ to run any of the pre-configured commands, simply run

```
peaks
```

For more information, see the [documentation](https://fpgmaas.github.io/peaks/).

## Configuration

_peaks_ can look for configuration in the following two locations:

- In a `peaks.yaml` file in the current directory
- In any `.yaml` file in the the global configuration directory, which is defaulted to `~/peaks`, but which can be overridden with the environment variable `peaks_HOME`.

An example `.yaml` file could look as follows:

```yaml
test:
  my-command:
    cmd: "echo Hello! My name is: $name. My favourite fruit is: $fruit"
    echo: false
    args:
      - name
      - fruit: apple
```

Which adds the command group `test` wth a single command called `my-command`. When `my-command` is selected to be run, _peaks_ prompts the user for `name` and `fruit` before running the command specified in `cmd`, where `fruit` is defaulted to `apple` if the user does not give any input.

For more details, see the [configuration](https://fpgmaas.github.io/peaks/configuration) section of the documentation.

---

Repository initiated with [fpgmaas/cookiecutter-poetry](https://github.com/fpgmaas/cookiecutter-poetry).