In first case you keep complete control of the environment and all files, and also of computing resources. Use some cloud services to run the code in the cloud.Install required environment locally and run the code on your own computer.If that is what you want - read on!īecause you need to execute the code somewhere, you have two options: In most of the cases you do not only want to see, but you also want to execute Jupyter notebooks, to be able to change some code and see the result. As an additional benefit you get notebook support, but without the ability to run them. v is a great way to open any GitHub repository in Visual Studio Code editing mode. If Visual Studio Code is not installed, you can use online version v, or v. Here is an example of how GitHub repository looks like when opened in nbviewer.Īnother option would be to use Visual Studio Code, which has built-in support for notebooks out of the box. You can also use nbviewer to browse through the code of any notebook, given either GitHub username/repo, or any URL on the internet.
ipynb file, and it will open in your browser. If the code is located in some GitHub repository - just click on. If the only thing you want is looking through the code in your notebook - you do not need anything complicated. Let’s go through some of the ways you can execute Jupyter Notebooks. Unfortunately, this service is no longer with us, but the need to be able to execute notebooks still remains. In this post, I will cover different ways to run Jupyter Notebooks that you come across, without a need to install complete Python environment on your machine.Įarlier, I have written a post about Azure Notebooks, and how they can be effectively used to run Jupyter Notebooks with sample code.
They are also extremely effective tool in education, allowing authors to mix text content with executable code. Jupyter Notebooks are quickly becoming de facto standard for sharing code in AI, ML and Data Science.
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How to Execute Jupyter Notebooks from GitHub
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