Tools
In our quest for innovation and problem-solving, we leverage a diverse toolkit of programming and other tools. From 3D printing for rapid prototyping to code analysis for software reliability, our arsenal includes Git for version control, Docker for seamless deployment, and Conda for managing dependencies. Just In Time (JIT) compilation optimizes performance, while platforms like Linux provide a stable foundation. Tools like Jupyter and Plotly Dash aid in data science and visualization, while OpenCV enhances our capabilities in computer vision. For robotics, ROS and ROS 2 offer robust middleware, and Unity provides simulation environments. Infrastructure-wise, the HEVS Hades Cluster powers demanding tasks, and Visual Studio Code offers a feature-rich development environment. With WSL, we seamlessly transition between Windows and Linux environments, enabling efficient workflow.
Contents
- 3D print
- Code analysis
- Conda
- Cmder
- Docker
- Git
- GithHub Classroom
- Cyberlearn Moodle
- Gitlab
- EDA CI/CD
- EDA PC image
- Jupyter
- Just In Time (JIT) Compilation
- Linux
- OpenCV
- Plotly Dash
- Qt
- ROS
- ROS 2
- Unity
- Visual Studio Code
- WSL