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Related lectures (31)
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Elements of Collaborative Data Science
Introduces collaborative data science tools like Jupyter notebooks, Docker, and Git, emphasizing data versioning and containerization.
Distributed Version Control with Git
Explores Git's distributed version control features, focusing on conflict resolution and collaboration management.
Scientific Programming for Engineers: Introduction to GIT
Covers the basics of scientific programming for engineers, emphasizing the importance of GIT for collaborative work and providing insights into challenges in scientific software development.
Pâte brisée and Crêpes Recipes
Covers the process of making pâte brisée and crêpes, along with Git version control commands.
Introduction to Git: Basics and Commands
Introduces the basics of Git, covering installation, configuration, commits, branches, and repositories.
Git: Working with Remote Repositories
Covers Git functionalities, including working with remote repositories and managing branches.
Introduction to Git: Basics and Commands
Introduces the basics of Git, covering setting up repositories, committing changes, and pushing modifications.
Distributed Version Control with Git
Explores Git's distributed version control, covering conflict resolution, collaboration management, and merging in software projects.
Introduction to GIT for Source Code Management
Covers the basics of GIT, including cloning, committing modifications, managing branches, and using remotes.
GitHub: Git and GitHub Demo on Windows
Covers the basics of Git and GitHub, including creating a GitHub repository and managing remote repositories.
Collaborative Data Science: Tools and Git Workflow
Explores tools like Git and Docker for collaborative data science projects.
Git Version Control System
Introduces Git, a version control system essential for software development.
Gitlab Agent for Kubernetes (`agentk`)
Covers the setup of a Gitlab agent for Kubernetes, focusing on installation, version control, and troubleshooting.
Version Control System: Basics and Workflow
Introduces the basics of Version Control Systems, focusing on Git operations and branching strategies.
Introduction to GitHub Collaboration
Showcases the basics of collaborative work on GitHub through examples of creating repositories, making commits, and managing branches.
Data Science Visualization with Pandas
Covers data manipulation and exploration using Python with a focus on visualization techniques.
Structures and Mechanisms: Opening a Box
Explores the analysis of structures and mechanisms through a sample problem of opening a box with a string-held lid.
Introduction to Data Science
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Version Control Systems: Git
Covers the fundamentals of version control systems, focusing on Git.
Python Test: Introduction
Introduces Python and Git for analyzing soil humidity data in an orchard.
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