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Source channel @githubtrending · Post #15317 · Dec 7

#svelte Foundry Local lets you run powerful AI models directly on your own computer without needing an Azure subscription or internet connection. This means your data stays private and secure because everything happens locally on your device. It automatically picks the best model version for your hardware, whether you have a GPU, NPU, or just a CPU, ensuring fast and efficient performance. You can easily install it on Windows or macOS, run models via simple commands, and integrate AI into your apps using SDKs for Python, C#, or JavaScript. This gives you full control, reduces costs, and speeds up AI tasks without relying on the cloud. https://github.com/microsoft/Foundry-Local

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djangoproject

@djangoproject · Post #316 · 04/28/2017, 06:09 AM

https://github.com/blissnd/easyxls Convert any #spreadsheet into a Python internal #dict/#array data structure, for easy processing. Can also handle pivot tables. For pivot table usage, header_row_start & header_col_start need to be set equal to the top left corner of the pivot table => header_row_start=8, header_col_start='c' in the included example. Column IDs must always be lowercase chars in quotes, e.g. 'a'.

djangoproject

@djangoproject · Post #129 · 08/31/2016, 03:36 PM

https://pypi.python.org/pypi/numpy #NumPy is a general-purpose #array-processing package designed to efficiently manipulate large #multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional #arrays. NumPy is built on the #Numeric code base and adds features introduced by #numarray as well as an extended #C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose #data-base applications.