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Source channel @githubtrending · Post #15416 · Jan 15

#typescript Eigent is an open-source desktop application that lets you build and deploy a custom AI workforce to automate complex tasks. It uses multiple specialized agents working in parallel—like a Developer Agent for coding, a Search Agent for web research, and a Document Agent for file management—to handle sophisticated workflows efficiently. You can run it locally on your own computer for complete privacy and control, or use the cloud version for quick setup. The main benefit is boosting productivity by automating multi-step processes like report generation, market research, and data analysis without requiring technical configuration, while keeping your data completely private. https://github.com/eigent-ai/eigent

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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.