Version Control with Git

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Covers the basics of GIT, including cloning, committing modifications, managing branches, and using remotes.

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Introduces Python and Git for analyzing soil humidity data in an orchard.

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Explores hosting on XaaS infrastructure and continuous deployment best practices at EPFL, emphasizing security, documentation, and collaboration.

Covers the configuration of a project management tool and defining project structures, geographical locations, and risks.

Explores the significance of reproducibility in data science and introduces Renku, a platform for managing data-driven projects.

Introduces setting up the environment, Git basics, and Jupyter Notebook features with practical examples.

Covers the essentials of Data Science using Python, Numpy, Pandas, and Scikit-learn, including DNA sequence analysis and classification.

Covers data manipulation and exploration using Python with a focus on visualization techniques.

Covers DevOps topics such as hosting, DNS, deploying OS, apps, SSL, and Httpie utility.

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