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<!DOCTYPE HTML>
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<title>GitHub & Docker</title>
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<h1>GitHub & Docker</h1>
<p>Select a link below to learn more about GitHub and Docker.</p>
<h2><a href="github_data.html">GitHub</a></h2>
<h3>What is GitHub?</h3>
<p>GitHub is a web-based platform that offers version control and collaborative capabilities for software development projects. Built on Git, an open-source version control system, GitHub provides a space where developers can store and manage their code, track changes, and collaborate with others on projects of any size. With features such as branches, pull requests, and issue tracking, GitHub is an essential tool for both individual developers and large teams.</p>
<h3>Why Use GitHub?</h3>
<p>GitHub offers several benefits, making it a valuable resource for software development:</p>
<ul>
<li><strong>Version Control:</strong> GitHub's version control system allows you to track changes made to your codebase, revert to previous versions, and merge changes from different branches seamlessly.</li>
<li><strong>Collaboration:</strong> GitHub provides a platform for developers to work together on projects, regardless of their location. It supports collaborative workflows with pull requests and code reviews.</li>
<li><strong>Open Source Community:</strong> GitHub hosts a vast number of open-source projects, allowing developers to contribute to existing projects and learn from others' code.</li>
<li><strong>Project Management:</strong> With features like issue tracking, project boards, and wikis, GitHub helps manage and document projects efficiently.</li>
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<h3>Application to Academic Research</h3>
<p>In academic research, GitHub can be a powerful tool for managing and sharing code, data, and research findings. It supports reproducible research by providing a transparent and organized way to document code and data analysis workflows. Researchers can collaborate with colleagues, contribute to open-source projects, and share their work with the broader academic community. GitHub's version control capabilities ensure that all changes to code and data are meticulously tracked, facilitating collaboration and ensuring the integrity of research outputs.</p>
<h2><a href="docker_data.html">Docker</a></h2>
<h3>What is Docker?</h3>
<p>Docker is an open-source platform that enables developers to automate the deployment, scaling, and management of applications in lightweight containers. Containers are isolated environments that bundle an application with all its dependencies, ensuring consistency across different computing environments. Docker containers can run on any machine with Docker installed, making it easier to develop, test, and deploy applications.</p>
<h3>Why Use Docker?</h3>
<p>Docker offers several advantages for software development and deployment:</p>
<ul>
<li><strong>Portability:</strong> Docker containers encapsulate an application and its dependencies, allowing it to run consistently across different environments, from a developer's laptop to a production server.</li>
<li><strong>Isolation:</strong> Containers provide isolated environments, preventing conflicts between different applications and their dependencies.</li>
<li><strong>Scalability:</strong> Docker makes it easy to scale applications by deploying multiple containers and managing them with orchestration tools like Kubernetes.</li>
<li><strong>Efficiency:</strong> Docker containers are lightweight, using fewer resources than traditional virtual machines, and they can be spun up and torn down quickly.</li>
</ul>
<h3>Application to Academic Research</h3>
<p>In academic research, Docker can facilitate reproducible research by creating consistent environments for code execution. Researchers can use Docker to package their analysis pipelines, ensuring that the same software versions and configurations are used regardless of the computing environment. This reduces the risk of discrepancies in results due to differences in system setups. Docker also enables researchers to share their entire computational environment, making it easier for others to replicate experiments and validate findings. Moreover, Docker's containerization can simplify the deployment of research software, enabling the broader community to access and use these tools without complex installations.</p>
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<h2>Funding</h2>
<p> We would like to express our heartfelt gratitude to <strong>Neurohackademy</strong> at the <strong>University of Washington eScience Institute</strong> for providing invaluable training and support. This experience has significantly enriched our understanding of neuroimaging and data science. We also acknowledge the support of the National Institute of Mental Health (NIMH) grant number <strong>5R25MH112480-08</strong>, which made this opportunity possible.</p>
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