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Completely uninstall python 2.7 mac el capitan for mac os#

Install pip (or pip3 for python3) if it is not already installed: The packages that will be installed or upgraded during the pip install are listed in the REQUIRED_PACKAGES section of setup.py. For Windows instructions, please see Pip installation on Windows. We provide pip packages for TensorFlow on Linux, Mac OS X, and Windows. Pip is a package management system used to install and manage software packages written in Python. If you encounter installation errors, see common problems for some solutions. The names of the pip and Docker images are listed in the corresponding installation sections. If you are familiar with Pip, Virtualenv, Anaconda, or Docker, please feel free to adapt the instructions to your particular needs.

Installing from sources: Install TensorFlow by building a pip wheel that you then install using pip.

Docker install: Run TensorFlow in a Docker container isolated from all other programs on your machine.

Does not impact existing Python programs on your machine.

Anaconda install: Install TensorFlow in its own environment for those running the Anaconda Python distribution.

Virtualenv install: Install TensorFlow in its own directory, not impacting any existing Python programs on your machine.

May impact existing Python programs on your machine.

Pip install: Install TensorFlow on your machine, possibly upgrading previously installed Python packages.

We support different ways to install TensorFlow:

Completely uninstall python 2.7 mac el capitan for mac os#

For Mac OS X, please see Setup GPU for Mac.

Please see Cuda installation for details. Other versions are supported (Cuda toolkit >= 7.0 and cuDNN >= v3) only when installing from sources. The GPU version works best with Cuda Toolkit 8.0 and cuDNN v5.1. The TensorFlow Python API supports Python 2.7 and Python 3.3+. You can install TensorFlow either from our provided binary packages or from the github source.