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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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In this tutorial, we are going to walk through how to install scikit-learn on an Ubuntu 18.04 server. We are going to walk through the installation both in a virtual environment with the Python package manager, Pip, and via Anaconda.
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Let’s be honest: Most of the time, the Python version included with a Linux distro isn’t the newest. For example, at the time of this writing, the version of Python 2 included with our CentOS 7 VPS server
Cloud images is 2.7.5, and Python 3 isn’t even available out of the box. For reference (again, at the time of this writing), the latest versions are 2.7.14 and 3.6.4 respectively.
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