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Python package manager

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Which Python package manager should you use? Many who touch the code have different preferences when it comes to their programming environment. Vim vs Emacs. Places against tabs. Virtualenv vs Anaconda. Today I want to work with you and share my environment data for machine learning. You definitely don't have to copy my setup, but a few bits of it can serve as a useful inspiration for your development environment. Pip First, we have to talk about pipes. Pip is Python's package manager. It's been built on Python for a while now, so if you have Python, you've probably installed the pipe. Pip installs packages such as TensorFlow and Nampi, Ponds and Jupiter, and more, with their dependencies. Pipe installation <your_Liveite_library> Many Python resources are distributed as pipe packages. Sometimes you need a file in a Python script folder. txt. Typically, that file outlines all the pipe packages that the project uses, and you can install everything in that file using