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Tag: Virtualenv

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Pyenv is an outstanding tool for managing multiple Python installations. Pyenv-virtualenv is a pyenv plugin that facilitates the creation and management of Python virtual environments with pyenv. This is a compelling proposition, making it possible to manage multiple Python versions with pyenv and provide the means to control the Python environment in a more granular manner.

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What is Pyenv?

Pyenv is a fantastic tool for installing and managing multiple Python versions. It enables a developer to quickly gain access to newer versions of Python and keeps the system clean and free of unnecessary package bloat. It also offers the ability to quickly switch from one version of Python to another, as well as specify the version of Python a given project uses and can automatically switch to that version. This tutorial covers how to install pyenv on Ubuntu 18.04.

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What Is Virtualenv?

Virtualenv 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 versions for separate apps or projects.

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Python is a general-purpose programming language designed for various uses. For example, websites, industrial robotics, and even games all use the same core technology.

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The SQLAlchemy Toolkit and Object Relational Mapper is an extensive set of utilities for working with Python and databases. This toolkit provides a package full of popular persistence patterns, designed for economical and robust database accessibility. SQLAlchemy allows a developer to use simple SQL statements (unlike other Object Relational Mapping tools) which provide a helpful method to connect database tables with user-defined Python classes. The SQLAlchemy Object Relational Mapping tool is primarily centered on using the SQL Expression language.

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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 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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