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Source channel @githubtrending · Post #15526 · Feb 27

#python#ai#ai_agent#ai_infra#kubernetes#sandbox OpenSandbox is a general-purpose sandbox platform that lets you safely run AI applications, code, and agents in isolated environments. It provides multi-language SDKs for Python, Java, and JavaScript, making it easy to integrate into your projects. The platform supports Docker and Kubernetes runtimes, so you can run sandboxes locally or at scale. Key benefits include running code generated by AI models safely, executing data analysis, automating browser tasks, and training AI systems without risking your main system. Whether you're building coding agents, testing applications, or letting AI handle complex tasks, OpenSandbox gives you a secure, controlled space to experiment and execute code without side effects. https://github.com/alibaba/OpenSandbox

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djangoproject

@djangoproject · Post #507 · 11/26/2017, 10:08 PM

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http://devarea.com/machine-learning-with-python-introduction/#.Whs6iCehU8o #Machine_Learning With Python – Introduction #Numpy is package for multi dimension arrays – very effective implementation #Scipy – package for scientific programming , mathematics , signal processing and more #Pandas – package for data handling #Matplotlib – package for data visualization (graphs) #Seaborn – extend Matplotlib with statistical graphs #Scikits – many extensions to spicy for specific fields like x-ray, image processing , deep learning and many more

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