Scientific Programming for Engineers: Introduction to GIT

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Covers the process of making pâte brisée and crêpes, along with Git version control commands.

Showcases the basics of collaborative work on GitHub through examples of creating repositories, making commits, and managing branches.

Introduces collaborative data science tools like Jupyter notebooks, Docker, and Git, emphasizing data versioning and containerization.

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

Introduces the basics of Git, covering setting up repositories, committing changes, and pushing modifications.

Introduces the basics of Git, covering installation, configuration, commits, branches, and repositories.

Covers the fundamentals of version control systems, focusing on Git.

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

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

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