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@@ -6,24 +6,6 @@ The goal of this document is to offer a regularly updated resource that outlines
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While it is not essential to follow every recommendation to the letter, thoughtfully considering and incorporating the practices discussed here can significantly improve the reproducibility, usability, and interpretability of your research.
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## Table of Contents
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-[Quick-start](#quick-start)
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-[Language: Python](#language-python)
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-[Version Control: Git](#version-control-git)
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-[Project Structure](#project-structure)
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-[README: README.md](#readme)
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-[Project Config: TOML](#project-config-toml)
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-[IDE: VSCode](#ide-vscode)
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-[Packaging and Dependency Management: Poetry](#packaging-and-dependency-management-poetry)
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-[Code Formatter: Ruff](#code-formatter-ruff)
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-[Tests: Pytest](#tests-pytest)
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-[Data](#data)
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-[Examples](#examples)
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-[Scripts](#scripts)
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---
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## Quick-start
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Most of the instructions in this guide require use of the commandline interface in a Unix based system (Mac and Linux). For use with Windows first install Gitbash via [Git for Windows](https://gitforwindows.org).
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Python is a popular, high-level programming language known for its readability and versatility. It’s widely used in fields like web development, data science, automation, and artificial intelligence. Python’s simple syntax and vast ecosystem of libraries make it a go-to choice for both beginners and professionals looking to build efficient, scalable applications.
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Python is pre-installed on most macOS and Linux systems, meaning users can typically start using it right away from the terminal. However, on Windows, Python usually needs to be installed manually. Windows users can download it from the official Python [website](https://www.python.org/) and should ensure to check the box to "Add Python to PATH" during installation for easy access from the command line.
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