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Source channel @githubtrending · Post #15180 · Sep 29

#other You can use a set of markdown files to guide AI coding assistants step-by-step in building software features. This method breaks down your feature idea into a clear Product Requirement Document (PRD), then into detailed tasks, and finally lets the AI work on each task one at a time while you review and approve progress. This structured workflow helps you keep control, avoid errors, and track progress visually, making AI-assisted development more reliable and manageable. It works with many AI tools and improves the quality and clarity of AI-generated code, saving you time and reducing frustration during complex feature development. https://github.com/snarktank/ai-dev-tasks

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djangoproject

@djangoproject · Post #352 · 06/25/2017, 08:57 AM

https://stxnext.com/blog/2017/04/12/most-popular-python-scientific-libraries/ The most popular Python scientific libraries: #Astropy #Biopython #Cubes #DEAP #SCOOP #PsychoPy #Pandas #Mlpy #matplotlib #NumPy #NetworkX #TomoPy #Theano #SymPy #SciPy #scikit_learn #scikit_image #ScientificPython #SageMath #Veusz #graph_tool #SunPy #Bokeh