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A notebook interface or computational notebook is a virtual notebook environment used for literate programming, a method of writing computer programs. [1] Some notebooks are WYSIWYG environments including executable calculations embedded in formatted documents; others separate calculations and text into separate sections.
Examples include Amazon SageMaker Notebooks, [9] Google's Colab, [10] [11] and Microsoft's Azure Notebook. [12] Visual Studio Code supports local development of Jupyter notebooks. As of July 2022, the Jupyter extension for VS Code has been downloaded over 40 million times, making it the second-most popular extension in the VS Code Marketplace. [13]
LangChain was launched in October 2022 as an open source project by Harrison Chase, while working at machine learning startup Robust Intelligence. The project quickly garnered popularity, [3] with improvements from hundreds of contributors on GitHub, trending discussions on Twitter, lively activity on the project's Discord server, many YouTube tutorials, and meetups in San Francisco and London.
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Google also released Colaboratory, a TensorFlow Jupyter notebook environment that does not require any setup. [69] It runs on Google Cloud and allows users free access to GPUs and the ability to store and share notebooks on Google Drive .
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The case study shows how a few tens of lines of scripting can interface with pandapower to advance the design of a system subject to diverse operating requirements. The associated code is hosted on GitHub as jupyter notebooks. [85] As of 2018, BNetzA, the German network regulator, is using pandapower for automated grid analysis. [86]
A template is a Wikipedia page created to be included in other pages. Templates usually contain repetitive material that might need to show up on a larger number of articles or pages. They are commonly used for boilerplate messages, standardized warnings or notices, infoboxes, navigational boxes, and similar purposes. Templates can have ...