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Python Starter Project Boilerplate Template - v1.1.0

A Python boilerplate starter project template to setup a baseline Python project for you to get started.

Build Status Licence

Python projects are tricky to setup correctly and as such the creation of this project came about. I hope you enjoy this and enjoy using it as much as I do. This has been recently updated to use the awesome [Poetry](https://python-poetry.org/) packaging and dependency toolchain.

Usage

Click the Use this template button at the top of this project's GitHub page to get started.

Software Requirements:

Installation:

The toolchain is driven by using Taskfile and all commands are managed via the file Taskfile.yml

The list of commands is as follows:

* activate:           Activates the virtual environment.
* clean:              Cleans the environment, Overwrites the pyproject.toml file
* create:             Inits the poetry virtual environment and installs baseline packages.
* default:            Call Create as default cmd.
* deps:               Install the dependencies.
* docker-build:       builds a docker image based on the docker file
* docker-run:         builds a docker image based on the docker file
* install:            installs the poetry environment with dependencies.
* lint:               Lints the project using ruff --fix
* release:            uses pyinstaller to package your Python application into a single package
* run:                Run the script main.py
* test:               Tests the project.
* update:             updates dependency versions
* vulncheck:          Checks for vulnerabilities in the project

Execute using the taskfile utility:

task <command_from_above_list>

To get started type:

  • task create deps activate - this will create a new environment, fetch the dependencies and activate the virtual environment in one step.
  • task run - to run main.py in the root.
  • task clean - to delete everything in the virtual environment folder.

Attribution