Docker is a containerization software that is used for automating the deployment and management of applications within an isolated environment. This software allows us to “pack” and ship an application, along with all of its needed files, libraries, and dependencies, into a “docker container“. That container can then be easily ported to any Linux system that contain cgroups support within the kernel, and provides a container management environment. Docker is one of several containerization implementations (not to be confused with virtualization) based on this cgroups mechanisms built into the Linux kernel.
PyCharm is an IDE (or Integrated Development Environment) for the Python programming language. It is a cross-platform development environment that is compatible with Windows, macOS, and Linux. It provides a tool that integrates code analysis, graphical debugging, unit testing, and also contains an integrated terminal that supports development on remote hosts and virtual machines.
Before we begin, let’s describe what Docker is. Docker is a set of virtualization tools that allows us to create, test, and deploy containerized applications quickly and easily on a dedicated server. It has become very popular and used almost everywhere in our daily lives. Thanks to containerization, we can quickly launch applications on different cloud platforms utilizing small bundles which contain all the needed packages, libraries and configuration file to run an application. These docker packages communicate via established network channels.
In our last tutorial, we learned how to install Vue JS 2 CLI and set up a simple application. Due to the release of the new Vue JS 3 CLI, we decided to create a new tutorial that will highlight some of the updated features which are exceptional in regards to this advanced development framework.
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 guide, we will compare Serverless Computing versus Function As A Service (FaaS). We will be discussing some of the similarities as well as some of the differences between the two options.
In the early 2000s, when building a web application or service, a full team was needed to develop, deploy, configure, and maintain the software. Many companies performed all of these tasks in house. The decisions they often faced included: