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Part of the New User Training and Updated Best Practices on Perlmutter: February 15-16, 2024 Please see ...

Description: Master Python Documentation: Learn How to Use Official Python Docs Like a Pro! Python documentation is an ...

This is part of the New User Training and Updated Best Practices on Perlmutter: Feb 13-14, 2025 ...

Software testing is a fundamental part of modern software development, and especially important for science since results should ...

I used to find writing CUDA code rather terrifying. But then I discovered a couple of tricks that actually make it quite accessible.

This is part of New User Training and Updated Best Practices on Perlmutter: September 16-17, 2024 ...

This is part of the NERSC training Crash Course in Supercomputing, June 28, 2024 Slides and details at ...

A brief explanation of the **retrying** in software development. **Timestamps:** - 00:00 - Intro - 00:39 - A naive approach - 01:34 ...

Thus far, we have been running Python code from Jupyter notebooks (though the same principle applies to other environments ...

- And again, I'm Charles Lively and I'll just be talking a little bit about making use of Python at NERSC and tomorrow or Friday, I'm ...

This lesson teachs learners the user interface of JupyterLab, how Jupyter notebooks work, and what some common and powerful ...

Go to https://course.fast.ai for code, notebooks, quizzes, etc. This course is designed for people with some coding experience who ...

Generating figures is part of the scientific process. This should not be manual, but ideally they should be automatically generated ...

This is part of NERSC New User Training September 24- 25, 2025 ...

Learn Data Science is this full tutorial course for absolute beginners. Data science is considered the "sexiest job of the 21st ...

Pandas is the standard tabular data package for Python. It allows you to do plenty of operations quickly and seamlessly.

Session 02: Writing Algorithms in Pseudocode | Creating Flowcharts | Translating to Python Code Welcome to the 2nd session of ...

in this video, I am teaching the basics of [geospatial and graphical] computing in Python and go through an exercise in Python ...

There are various tools that can make your own human time more efficient - productivity tools. These do things and find problems ...

If you can't get your code to do the same thing again, is it really science? Or more practically, are you able to do your work?