semvec/pypi-packages huggingface dataset:
SKILL-TEST-GAME 1
This package contains implementation of the game "Skill Test Game". This game is about taking skill tests and earning skill badges.
License: MIT

# SKILL_TEST_GAME

Welcome to <b>Skill Test Game</b>. In this game, you will take skill tests to earn skill badges like when taking 
LinkedIn Skill Assessments (https://www.linkedin.com/skill-assessments/hub/quizzes/).

# Executable File

The executable file is downloadable at 
https://github.com/DigitalCreativeApkDev/SKILL_TEST_GAME/blob/master/SKILL_TEST_GAME/dist/skill_test_game/skill_test_game.

# Source Code

Python code used to create the game is available in 
https://github.com/DigitalCreativeApkDev/SKILL_TEST_GAME/blob/master/SKILL_TEST_GAME/skill_test_game.py.

# Installation

pip install SKILL_TEST_GAME

# How to Use the Executable File?

First, open by double-clicking the file "skill_test_game". 
How the executable file looks like is shown in the image below (the file is enclosed with a red rectangle).

## Image 1

![Executable File](images/Executable%20File.png)

# Getting Started

After you run the game, you will be asked to enter your name. If the saved game data with your name is available, it 
will be loaded. Else, a new game data will be created.

## Image 2

![Getting Started](images/Getting%20Started.png)

# Main Menu

After you either created new game data or load saved game data, you will be asked whether you want to continue playing 
the game "Skill Test Game" or not. If you enter 'Y', a list of skill tests you can take will be shown if there are 
skill tests you can take. You will be able to take skill tests where you have not earned a badge and have attempted 
less than twice in six months.

## Image 3

![Main Menu](images/Main%20Menu.png)

# The Game

In the game, Python skill test is available. To earn a skill badge for this skill test, you will need to earn a score 
of at least 80% for the skill test. You need to choose the correct answer and then press 'RETURN' key on Mac or 
'ENTER' key on Windows in 90 seconds or less for a question to earn a point for that question. Failing to answer the 
question in 90 seconds will make the game advance to the next question and your answer to that question will be 
considered incorrect.

The screenshot below shows how a question in the Python skill test looks like.

## Image 4

![Skill Test](images/Skill%20Test.png)

After answering all questions in a skill test, your score will appear on the screen. If you score 80% or above for 
the skill test you take, you will be asked whether you want to add your skill badge to your LinkedIn profile or not. If 
you enter 'Y', the details of information to be added to your LinkedIn profile will be shown. Else, you will be 
redirected to the 'Main Menu' of the game.

## Image 5

![Skill Test Completion](images/Skill%20Test%20Completion.png)

Below shows how it looks like if you want to add your badge to your LinkedIn profile.

## Image 6

![Add Badge to LinkedIn Profile](images/Add%20Badge%20to%20LinkedIn%20Profile.png)
simple-poetry 0.1.0
A clean, automated setup for publishing simple Python packages to PyPI and Anaconda.
License: MIT
Requires Python: >=3.8,<4.0

# Simple Poetry

**A clean, automated setup for publishing simple Python packages to PyPI using Poetry and GitHub Actions.**

![action](https://img.shields.io/github/workflow/status/ppeetteerrs/simple-poetry/build?logo=githubactions&logoColor=white)
[![pypi](https://img.shields.io/pypi/v/simple-poetry.svg)](https://pypi.python.org/pypi/simple-poetry)
[![codecov](https://img.shields.io/codecov/c/github/ppeetteerrs/simple-poetry?label=codecov&logo=codecov)](https://app.codecov.io/gh/ppeetteerrs/simple-poetry)
[![docs](https://img.shields.io/github/deployments/ppeetteerrs/simple-poetry/github-pages?label=docs&logo=readthedocs)](https://ppeetteerrs.github.io/simple-poetry)

## Setup

1. Prepare GitHub repo
	- Create new GitHub repository / fork this repository
	- Setup PyPI Credentials in repository secrets
		- `PYPI_TOKEN`: PyPI API token

2. Replace text in files
	- Rename `simple_poetry` folder to `<package_name>`
	- Replace all `simple_poetry` instance in files to `<package_name>`
	- Replace all `simple-poetry` instance in files to `<package-name>`
	- Replace all `3.8` instance in files to `<target-python-version>`
	- Replace `ppeetteerrs` with `<github_user_name`>

3. Enter Package Information
	- `pyproject.toml`: Project description, authors
	- `<package_name>/__init__.py`: Author and email
	- `README.md`: Customize it, change the name and description especially

4. Further Customizations
	- `mkdocs.yaml`: Edit theme and `mkdocstrings` preferences (Can also add sub-pages to API Reference etc.)
	- `.devcontainer.json`: Add preferred extensions / build configurations (e.g. use GPUs)
	- `Dockerfile`: Install necessary formatters / linters / packages for local testing
	- `docs/`: Write your documentation
	- `.github/workflows/push.yaml`: Remove the `tests::Run Tests` step if you need to run tests locally (e.g. if your tests require GPU). Keep the rest to upload Codecov.

5. Publish and Setup GitHub Pages
	- `commit` and `push` your changes
	- Create first release
	- Go to `Settings` and activate your GitHub Pages using the `gh-pages` branch