Author: Justin Palmer

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.

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.

The CentOS 7 Linux distribution includes Python 2 by default. However, Python 2 is going to reach EOL on January 1, 2020. While some legacy applications might require access to Python 2 for various reasons, it’s vitally important to kick start new projects in Python 3.

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.

In this article, we learn how to set up a python virtual environment on a Ubuntu 18.04 dedicated server. Python is a high-level dynamic programming language. Its straightforward syntax makes it a great choice for fast development. Python is used by system administrators to automate workloads and by developers for application development as well.

Data analysis via machine learning is becoming increasingly important in the modern world. PyTorch is a machine learning Python library, developed by the Facebook AI research group, that acts as a high-level interface for developers to create applications like natural language processors. In this tutorial, we are going to cover how to install PyTorch via Anaconda and PIP.

In this article, we will be discussing how to install Microsoft SQL or MSSQL on Linux. Microsoft SQL, colloquially referred to as MSSQL, is a relational database management system created by Microsoft. Open-source MySQL and PostgreSQL are typically synonymous with Linux distributions, but working with MSSQL on Linux is also supported. MSSQL offers some features that its open-source counterparts don’t, and depending on application requirements, it might be the right choice for an RDBMS. In this tutorial, we are going to walk through how to install MSSQL on CentOS 7 and Ubuntu 16.04.

In this article, we are going to cover the available options for installing software on a Dedicated Ubuntu server. By the end of this article, you’ll be equipped with an arsenal of tools for installing the exact software you want on your Ubuntu server! We will be installing three different software packages from source, deb, and flatpack.

In this tutorial, we are going to set up TensorFlow in a virtual Python environment on Ubuntu 18.04. TensorFlow is an open-source framework, developed by the Google Brain team, designed to be a high-level interface for implementing machine learning and mathematical operations. This library provides developers an avenue to work on complex projects like neural networks through an easy to use Python API. One of the significant benefits of having a Python front-end is that it is portable between operating systems like Linux and Windows.

What is Snapcraft?

Snapcraft is a command-line utility for building snaps. This software allows users to build their own applications or software packages, and then publish them to the Snap store to be shared and utilized by other users! In this tutorial, we will learn how to install Snapcraft on Ubuntu and CentOS.