Colab is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs.

In Part 1, I explained why Colab is great for teaching Python programming.In this article we’ll get into the details — I’ll show you some specific examples of how Colab can enhance your Python teaching toolkit.

Hugging Face is a collaborative Machine Learning platform in which the community has shared over 150,000 models, 25,000 datasets, and 30,000 ML apps. Throughout the development process of these, notebooks play an essential role in allowing you to: explore datasets, train, evaluate, and debug models, build demos, and much more.

I’ve been teaching Python programming for several years and I’ve discovered some great tools and techniques to help students learn and to make my life easier.

Notebook for running Molecular Dynamics (MD) simulations using OpenMM engine and AMBER force field for PROTEIN systems. This notebook is a supplementary material of the paper "Making it rain: Cloud-based molecular simulations for everyone" (link here) and we encourage you to read it before using this pipeline.

Pandas is a wonderful tool for analyzing data in Python but wouldn’t it be nice if your dataframes could be a bit more interactive? Imagine being able to easily sort and search your data without having to write additional code. Well, in Colab that feature is just a mouse click away.

Under Tools->Settings, select Miscellaneous, then one of the featured modes or…why not all three?And voila — your menu bar is resplendent with cute animated companions outfitted in their Halloween finest.Maybe your pandas are broken, but …

Pandas is a popular open source Python package for data science, data engineering, analytics, and machine learning. It’s built on top of NumPy, which provides efficient support for numerical computation on multi-dimensional arrays.. The Pandas project offers a helpful introductory tutorial called 10 Minutes to Pandas but it’s a read-only document. I like to learn by doing so I’ve taken ...

With the upgrade to Python 3.10, it brings Colab into alignment with the cadence of final regular bug fix releases for Python versions.The next version of Python (3.11) is scheduled to have its final regular bug fix release in April 2024.. Colab’s fallback runtime version

Have you heard about Google BigQuery? It’s hard to summarize all of the advantages in one sentence but I’m going to try anyway: BigQuery is a fully managed, cloud-native data warehouse that enables incredibly fast SQL queries using the processing power of Google’s infrastructure.