Collab

Colaboratory ("Colab" for short) is a data analysis and machine learning tool that allows you to combine executable Python code and rich text along with charts, images, HTML, LaTeX and more into a single document stored in Google Drive. It connects to powerful Google Cloud Platform runtimes and enables you to easily share your work and collaborate with others.

What is Google Colab? Google Colaboratory (Colab) Notebooks are a form of Jupyter Notebook that allows you (and others!) to collaboratively edit and interact with the Notebook in the same way you can make shared edits on a Google Doc. The beauty of Jupyter Notebooks, however, is that it allows you to combine computer code, mathematical equations in LaTeX, and regular prose (words) in Markdown all in one interactive document. Colab notebooks are great because it provides the benefits of Jupyter notebooks without requiring students to install software on their own computers; rather, all of the code you run will be done in the Google Cloud. This means we don't have to worry about pesky installation issues, and everyone is on a level playing field. The same code will, in theory, run at the same speed whether you execute it from your phone or from a supercomputer. Colab notebooks also have many of the same benefits of Google Docs, including automatically saving your work frequently and keeping track of (and saving) different versions of your work over time, so it's easy to recover previous work if needed. Personally, I view the automatic backing up of students' work to the Google cloud as a very important benefit of Colab notebooks because of how frequently I deal with students losing their work because of a variety of computer issues. With Colab, even if a student's computer is completely inoperable, they can access and edit their work using any other computer because their wo...

What is Colaboratory? Colaboratory, or “Colab” for short, is a product from Google Research. Colab allows anybody to write and execute arbitrary python code through the browser, and is especially well suited to machine learning, data analysis and education. More technically, Colab is a hosted Jupyter notebook service that requires no setup to use, while providing access free of charge to computing resources including GPUs. Seems too good to be true. What are the limitations? Colab resources are not guaranteed and not unlimited, and the usage limits sometimes fluctuate. This is necessary for Colab to be able to provide resources free of charge. For more details, see Users who are interested in more reliable access to better resources may be interested in Resources in Colab are prioritized for interactive use cases. We prohibit actions associated with bulk compute, actions that negatively impact others, as well as actions associated with bypassing our policies. The following are disallowed from Colab runtimes: • file hosting, media serving, or other web service offerings not related to interactive compute with Colab • downloading torrents or engaging in peer-to-peer file-sharing • remote control such as SSH shells, remote desktops, remote UIs • connecting to remote proxies • mining cryptocurrency • running denial-of-service attacks • password cracking • using multiple accounts to work around access or resource usage restrictions • creating deepfakes Additional restrictions e...

What is Google Colab? Google Colaboratory (Colab) Notebooks are a form of Jupyter Notebook that allows you (and others!) to collaboratively edit and interact with the Notebook in the same way you can make shared edits on a Google Doc. The beauty of Jupyter Notebooks, however, is that it allows you to combine computer code, mathematical equations in LaTeX, and regular prose (words) in Markdown all in one interactive document. Colab notebooks are great because it provides the benefits of Jupyter notebooks without requiring students to install software on their own computers; rather, all of the code you run will be done in the Google Cloud. This means we don't have to worry about pesky installation issues, and everyone is on a level playing field. The same code will, in theory, run at the same speed whether you execute it from your phone or from a supercomputer. Colab notebooks also have many of the same benefits of Google Docs, including automatically saving your work frequently and keeping track of (and saving) different versions of your work over time, so it's easy to recover previous work if needed. Personally, I view the automatic backing up of students' work to the Google cloud as a very important benefit of Colab notebooks because of how frequently I deal with students losing their work because of a variety of computer issues. With Colab, even if a student's computer is completely inoperable, they can access and edit their work using any other computer because their wo...

What is Colaboratory? Colaboratory, or “Colab” for short, is a product from Google Research. Colab allows anybody to write and execute arbitrary python code through the browser, and is especially well suited to machine learning, data analysis and education. More technically, Colab is a hosted Jupyter notebook service that requires no setup to use, while providing access free of charge to computing resources including GPUs. Seems too good to be true. What are the limitations? Colab resources are not guaranteed and not unlimited, and the usage limits sometimes fluctuate. This is necessary for Colab to be able to provide resources free of charge. For more details, see Users who are interested in more reliable access to better resources may be interested in Resources in Colab are prioritized for interactive use cases. We prohibit actions associated with bulk compute, actions that negatively impact others, as well as actions associated with bypassing our policies. The following are disallowed from Colab runtimes: • file hosting, media serving, or other web service offerings not related to interactive compute with Colab • downloading torrents or engaging in peer-to-peer file-sharing • remote control such as SSH shells, remote desktops, remote UIs • connecting to remote proxies • mining cryptocurrency • running denial-of-service attacks • password cracking • using multiple accounts to work around access or resource usage restrictions • creating deepfakes Additional restrictions e...

Colaboratory ("Colab" for short) is a data analysis and machine learning tool that allows you to combine executable Python code and rich text along with charts, images, HTML, LaTeX and more into a single document stored in Google Drive. It connects to powerful Google Cloud Platform runtimes and enables you to easily share your work and collaborate with others.