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Source channel @githubtrending · Post #14793 · Jun 5

#python#agents#ai#ai_agents#llm#llms#mcp#model_context_protocol#python The Model Context Protocol (MCP) is a standard way for AI agents to connect with different tools and data sources, making it much easier to build powerful AI applications without writing custom code for each integration[2][5]. The mcp-agent framework uses MCP to let you quickly create agents that can do things like read files, fetch web pages, or manage emails, and you can combine these agents in flexible ways to handle complex tasks. This means you can focus on what you want your AI to do, while mcp-agent takes care of connecting to the right tools and managing the workflow, saving you time and effort[3][5]. https://github.com/lastmile-ai/mcp-agent

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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.