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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How to Use PyPI & PIP

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pypi logo

In this article, we will discuss how to access and utilize the Python Package Index or PyPI via the pip command.

PyPI is the default software repository for Python developers to store created Python programming language software developers and programmers alike use to publicize and share their software.

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How to Install Scikit-Learn on Ubuntu 18.04

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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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