How to Install TensorFlow on CentOS

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In this tutorial, we are going to take a look at how to get started with TensorFlow on CentOS. We will be covering two methods. First, we will take a look at installing TensorFlow in a Python virtual environment via the Python package manager pip. After that, we will walk through installing TensorFlow via the Anaconda package manager. Finally, we will cover building a TensorFlow pip package from source.

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How to Setup a Python Virtual Environment on CentOS

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In this tutorial, we are going to cover how to set up a Python virtual environment on CentOS. A Python virtual environment makes it possible to install Python packages into a discreet Python ecosystem that is entirely separate from your system’s default Python framework. This means that you do not have to worry about overwriting the installation of any current packages that might be defaulted to the existing version of Python on your system.

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How To Setup A Python Virtual Environment On Windows 10

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A Virtual Environment or a “venv” is a Python module that creates a unique environment for each task or project. It installs the packages we need that are unique to that setting while keeping your projects neatly organized. Additionally, venv never actually modifies the system’s default Python versions or modules that are installed on the system. Using venv essentially allows for a unique working environment while avoiding any disruptions to other variants of Python that are used, but not related to our project.

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Creating a Virtual Environment for Python on Ubuntu 16.04

Reading Time: 2 minutesVirtualenv is a tool that creates an isolated environment separate from other projects. In this instance we will be installing different Python versions, including their dependencies.  Creating a virtual environment allows us to work on a Python project without affecting other projects that also use Python. It will utilize Python’s core files on the global environment to run, thus saving you disk space while providing the freedom to use different Python version for separate apps.

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