CoCalc

Create a CoCalc project and invite collaborators.

Create a Jupyter Notebook to perform data analysis.

Collaboratively edit the notebook in real-time.

Use TimeTravel to revert to previous versions if needed.

Publish the project to share with the broader research community.

Create a CoCalc project for the course.

Create assignments using Jupyter Notebooks.

Use nbgrader for automated grading.

Provide real-time feedback to students by editing their files or using side-chat communication.

Monitor student progress and identify areas where they need help.

Spin up a compute server with GPU support.

Install necessary software like PyTorch or TensorFlow.

Upload data to the compute server.

Train the machine learning model using Jupyter Notebooks.

Evaluate the model's performance and iterate as needed.

Create a CoCalc project and invite collaborators.

Create a LaTeX file to write the document.

Collaboratively edit the document in real-time.

Use the built-in LaTeX editor with preview rendering and error reporting.

Compile the document to generate a PDF.

Spin up a compute server with adequate CPU and RAM.

Install the necessary simulation software.

Upload the simulation input files.

Run the simulation from the Linux terminal or Jupyter Notebook.

Analyze the simulation results.