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Source channel @githubtrending · Post #14841 · Jun 19

#typescript#agents#ai#embedders#genkit#llm#machine_learning#multimodal#rag#vector_database Genkit is an open-source framework by Google Firebase that helps you easily build AI-powered apps using a single interface to connect many AI models like Google Gemini, OpenAI, and Anthropic. It supports JavaScript/TypeScript (stable), Go (beta), and Python (alpha), letting you create chatbots, automations, and recommendations quickly with simple code. Genkit works well with web and mobile platforms, offers tools for testing and debugging AI features locally, and lets you deploy and monitor your AI apps on Firebase or other cloud services. This saves you time and effort in developing and managing AI applications efficiently. https://github.com/firebase/genkit

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djangoproject

@djangoproject · Post #595 · 04/17/2018, 03:51 PM

https://github.com/pypa/virtualenv/issues/1059 Earlier today I installed python3.6 on my debian machine. Python3.6 was made available in buster distribution. When I try to create a virtualenv with python3.6. python3.6 -m venv venv gives the following error. The #virtual_environment was not created successfully because ensurepip is not available. On Debian/Ubuntu systems, you need to install the python3-venv package using the following command. apt-get install python3-venv You may need to use sudo with that command. After installing the python3-venv package, recreate your virtual environment. Failing command: ['/home/float/test/t/bin/python3.6', '-Im', 'ensurepip', '--upgrade', '--default-pip'] I do have python3-venv (3.5.3-1) installed. Why do I get this error? If I run the command py3 -Im ensurepip —upgrade —default-pip it says /usr/bin/python3.6: No module named ensurepip I don't have trouble creating virtualenvs using the default python3 version (3.5.3). Also , I noticed that I can create a virtualenv as follows: #virtualenv -p python3.6 #venv

djangoproject

@djangoproject · Post #535 · 12/28/2017, 10:12 AM

https://docs.pipenv.org/ #Pipenv — the officially recommended #Python#packaging tool from Python.org, free (as in freedom). Pipenv is a tool that aims to bring the best of all packaging worlds (#bundler, #composer, #npm, #cargo, #yarn, etc.) to the Python world. #Windows is a first–class citizen, in our world. It automatically creates and manages a #virtualenv for your projects, as well as adds/removes #packages from your #Pipfile as you install/uninstall packages. It also generates the ever–important Pipfile.lock, which is used to produce deterministic builds.