3/1/2023 0 Comments Colab jupyterlab![]() ![]() ![]() This allows each student in the same notebook to execute code independently. One of the most unique parts of our design is our distributed network of kernels. When you share a notebook or workshop, we send an email notifying the user. Users can share these notebooks with their team and edit together at the same time (or separately) with features like showing your collaborators' cursors and edits. It is a cloud notebook editor built from the ground up which allows users to create or import ipynb notebooks they normally would write in JupyterLab and have them saved in the cloud. ![]() Our name "Actually Colab" is a playful jab at Google's Colab which isn't actually collaborative (and suffers from the same centralized problems as products like CoCalc but more on that later). It is a collaborative code editor based in the cloud. We want students to be able to follow along with the teacher during class and see for themselves how the code works. We want students anywhere around the world to be able to join workshops with hundreds or thousands of their peers and learn in real-time. Inspired by our experiences working directly with professors, hearing their frustrations with what's available to them today, and our experiences running workshops through ADSA, we aimed to build something better and to make it completely Open Source and free for all. To make matter worse, most of these tools are restricted to on-premise servers blocked by private networks and organizational accounts making them unavailable to students who don't attend universities that pay for them. This is a problem because only the wealthiest can afford to pay and it creates yet another barrier to learning for lower-income individuals or organizations wishing to offer workshops without a budget. Unfortunately, the tools on the market for collaborating on code and running workshops are either built only for a handful of users or cost exorbitant amounts of money. Those workshops would offer an opportunity for younger students to interact and work with their peers, following along with the presentation and seeing their code run before their own eyes. One way that a lot of students got exposure to areas of CS is through workshops like the ones hundreds attended each year run by ADSA on campus. When it comes to Computer Science, we can and should do better. Students have suffered unevenly across the country and the world where access to remote learning tools can vary greatly. With 2 clicks you can enter open a new notebook that won’t be saved, and try different code options without affecting your original code.One of the biggest challenges, and one that we are acutely aware of now more than ever, is that it can be really hard to deliver the same connected experience remotely. Add your own shortcuts, night/light/adaptive - mode, and fonts. (like camera activation, visualizations, integrations, etc.).This is especially good when learning Machine Learning. Code snippets integrated: A pre-charged library of code to try several specific solutions.Run your notebook based on your necessities on a GPU or TPU. Being installed in the virtual environment. If the library that you want to use is not on Colab, just pip it as usual. It is all cloud-based and it doesn't require any main settings or installations. The notebook can be shared and edited in real-time by different team members, add comments, see the edition history and go back to previous versions, like in google docs. It performs all the tasks and code that Jupyter Notebook executes, using Python 2 and 3.NOTE: If you don’t care about all the functionality advantages and all that you want to know is how to make the Corgis and Cats appear, go to the end of the selection. ![]()
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