In this article, we will explore the newest methods to install or update to the latest version of Python on our Ubuntu system.
What is Python?
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. It’s high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development and use as a scripting or glue language to connect existing components together. Python’s simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse.
In this article, we review what Kubernetes and Kubeadm are, how to install, create a cluster, and set up worker nodes using Kubeadm. If you are not yet familiar with Kubernetes, we recommend reading our article on the fundamental basics of Kubernetes.
This article will demonstrate how to install and configure Minikube to set up a small Kubernetes cluster. We will then examine Kubernetes in more detail to apply that knowledge to a real-world example.
“A No-code development platform allows programmers and non-programmers to create application software through graphical user interfaces and configuration instead of traditional computer programming1.” Various software tools and applications are being used all around us each day. You might be asking yourself, “How do they do it?”.
Kubernetes (or K8s) is an open-source container orchestration system for automating computer application deployment, scaling, and management. Kubernetes manages and runs Docker containers on numerous hosts. The project was started by Google and is supported by many companies, including Microsoft, RedHat, IBM.
K3s is a lightweight version of Kubernetes. It is a highly available Kubernetes certified distribution designed for production workloads in unattended, limited resource, remote locations, or inside an IoT appliance. The developers of K3s declare that K3s is capable of almost everything that K8s can do.
In this tutorial, we will be reviewing what the fundamental similarities and distinctions are between Kubernetes and Docker Swarm. Kubernetes and Docker are two of the major players in container orchestration. Both Kubernetes and Docker Swarm continue to grow in popularity as they are increasingly used by those working with container deployment, orchestration, and management. Across all vertical markets, businesses continue to find new methods of utilization and practice with more uses constantly being discovered.
The arrival of containerized software has drastically changed the landscape of web hosting, and web application provides. The simplification and speed that comes with containers make deploying services like websites so efficient that the traditional model of dedicated servers running specific web-based software is almost obsolete. This being said, there will always be a place for virtual server projects and dedicated servers handling specific tasks like HIPAA compliant hosting services.
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 our previous article on Selenium, we touched on the tools that the software provides for testing web applications. In this article, we will review the installation of these tools and some basic tests that can be run using the following tools.
We will go through each of the Selenium tools in the order that is listed below. So let’s begin by installing Selenium IDE. After this, we will cover the basic usage of each of the tools.