Ubuntu is a free computer system, like Windows or macOS, but it’s built by a community. It’s great for programmers because it’s very flexible and has lots of tools already built-in that help you code.

Participants in this interactive class will use Jupyter Notebooks software and Python code to import, understand, and prepare a dataset for further analysis or visualization.

It is designed to run within Python-based Jupyter notebooks, and many example analyses are provided. dms_variants processes FASTQ files containing barcode reads and converts them into variants with a ...

Discover how Google’s NotebookLM transforms research with AI-powered summaries, interactive Q&A, and streamlined learning in 2025.

Researchers began by probing the live Python sandbox that Microsoft silently added to Copilot Enterprise in April 2025, finding they could execute system commands directly using Jupyter Notebook ...

When I have a task defined in Jupyter notebook in git repository, which utilizes another Python module from the same repository, and this module file is changed (or is new but staged), then the ...

Why Do Machine Learning Notebooks Crash? An Empirical Study on Public Python Jupyter Notebooks Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a ...

Computer simulation is an important tool to illustrate important topics through critical thinking. This activity allows students to investigate the aspects of free radical vinyl polymerization. In the ...

Here is where NotebookLM comes into play. It's free to use, works with a bunch of Google Docs documents (and more), and has a few AI tricks to amaze you.