Lectures related to Git Version Control System

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.

Version Control with Git

Introduces version control with Git, focusing on repository setup, committing changes, and collaboration.

Version Control System: Basics and Workflow

Introduces the basics of Version Control Systems, focusing on Git operations and branching strategies.

Collaborative Data Science: Tools and Techniques

Introduces collaborative data science tools like Git and Docker, emphasizing teamwork and practical exercises for effective learning.

Gitlab Agent for Kubernetes (`agentk`)

Covers the setup of a Gitlab agent for Kubernetes, focusing on installation, version control, and troubleshooting.

Collaborative Data Science: Tools and Git Workflow

Explores tools like Git and Docker for collaborative data science projects.

Distributed Version Control with Git

Explores Git's distributed version control features, focusing on conflict resolution and collaboration management.

GitHub: Git and GitHub Demo on Windows

Covers the basics of Git and GitHub, including creating a GitHub repository and managing remote repositories.

Introduction to GitHub Collaboration

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

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.

Distributed Version Control with Git

Explores Git's distributed version control, covering conflict resolution, collaboration management, and merging in software projects.

Version Control Systems: Git

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

Introduction to GIT for Source Code Management

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

Introduction to Git: Basics and Commands

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

Python Test: Introduction

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

Elements of Collaborative Data Science

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

Legacy Web Hosting Services Tour

Covers a tour of legacy web hosting services and discussions on future services storage.

Software Development: Code Refactoring and Debugging

Covers the process of code refactoring and debugging in software development.

Introduction to Jupyter Notebook

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