The classes will be held in the Lewis Science Library E-classroom 225 from 1:30 to 3:00 PM EDT and EST.

 

Learn how to make the most of the programmatic tools and techniques that software developers use to write robust, reproducible Python code quickly and efficiently. We will go through a sample scientific programming project and use PyCharm (and Visual Studio) IDEs to write, test, and debug code that executes on the cloud (the Princeton clusters…

This workshop meets twice:

Thursday, October 6, 4:30-6:00 PM
Thursday, October 13, 4:30-6:00 PM

When you register for this event you will automatically be registered for both days.

A Version Control System (VCS) is software that tracks changes to files, content, and data over time. git is a…

This workshop will get students started in data analysis using the pandas Python package. It will briefly cover different components of data analysis and connect them with the goal of extracting meaning from data. We will go over an example to illustrate the data analysis process from beginning to end.

Workshop format: Presentation…

The classes will be held in the Lewis Science Library E-classroom 225 from 1:30 to 3:00 PM EDT and EST.

 

What is a GPU and how can it be used for scientific computing? What GPU resources does Princeton provide? This workshop will answer these questions and show participants how to run example scripts written in Python, R and MATLAB on GPUs via Slurm. Participants will also gain hands-on experience with working with different GPU programming models,…

The classes will be held in the Lewis Science Library E-classroom 225 from 1:30 to 3:00 PM EDT and EST.

 

This workshop provides an introduction to effective data visualization in Python. The training focuses on three plotting packages: Matplotlib, Seaborn and Plotly. Examples may include simple static 1D plots, 2D contour maps, heat maps, violin plots, and box plots. The session may also touch on more advanced interactive plots.

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The classes will be held in the Lewis Science Library E-classroom 225 from 1:30 to 3:00 PM EDT and EST.

 

Find out how your fellow researchers transformed their work by leveraging GPUs on the Research Computing clusters. The speakers, comprised of graduate students and postdocs, will represent a range of backgrounds (e.g., MAE, Politics, PPPL) and cover the most popular GPU programming models (i.e., CUDA, OpenACC, Kokkos and PyTorch/TensorFlow).
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