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In this article, you will learn about the importance and role of the JavaScript language in the software industry. Where do we use the language and how it helps in production in the software companies everything we will get to know. JavaScript is one of the web development languages used to add functionality to the website. It makes the website interactive, robust, faster, and prettier. It's a scripting, interpreted language that can be directly compiled in a web browser like C, or CPP; it doesn't need a compiler to compile. Basically, to develop a website we need three basic languages: ... Read More
In this article, you will get to know about various techniques using which you can make your website attractive and fast. Which will increase user engagement and make your website productive. Let’s first get to know about JavaScript. What is JavaScript? JavaScript is one of the web development languages used to add functionality to the website. It makes the website interactive, robust, faster, and prettier. It's a scripting, interpreted language that can be directly compiled in a web browser like C, or CPP; it doesn't need a compiler to compile. This is the reason behind it turning out to be ... Read More
In this article, you will learn about how to get all the checked boxes on the other page using JavaScript. The checkbox is a type of selection that is a type of binary selection either true or false. It is an option of GUI form present on the page and using this we can take more input from the user. If a box is checked, it indicates true, which means that the user has selected the value and in case the box is unmarked then it indicates that the user has not selected the value. The difference between the checkbox ... Read More
Before knowing how to run amd64 docker images on the arm64 host platform, we must know what this means. There is a term called multi-architecture or multi-platform docker container images. These images contain the ability to run on various base or host architectures provided at the time of containerization of the images. Need of Multiplatform images Suppose you are a DevOps engineer and you have to prepare a web-server for an IT company. You have an amd64 host platform but when you handed over the image to the company you came to know that the company only works on the ... Read More
In this article, we are going to learn about how to run Gunicorn on Docker. Before creating the docker container with the gunicorn functionalities, we must know some of the basics of web servers and gunicorn. Introduction to Gunicorn Let us suppose we have a web server that shows the output of a python code to the users. This web server will execute the python script each time a request came to it, this will cause it to restart, overload, and delay (heavy delay for huge scripts) in response. So the real problem here we have is a static server ... Read More
Hot-Reloading is adding dynamic functionality to the react application on the web browser. This means if we change something in the code of the application it immediately reflects this change on the web application front. But before “reloading” anything we must know “loading”, that is to make some ReactJs project on the Node Docker container. Creation and Containerization of React App Step 1: React app Use the prebuild commands to create a basic react application. Example $npx create-react-app reactapp Output npx: installed 67 in 19.076s Creating a new React app in /home/hemant/project/reactapp. Installing packages. This might take ... Read More
The best feature of Docker is “Containerization and Networking.” Using containerization, we could create an independent and isolated environment for various use cases like web applications (“Apache”), database servers (“MongoDB”), and operating systems (“Ubuntu”). But the Docker network allows us to connect these containerized applications to communicate with each other or to the host operating system. Types of Docker Network present on Docker Daemon There are two types of networks on Docker − Default Docker bridge network User−defined network Default Docker bridge network This network is created on the host operating machine as soon as the Docker ... Read More
Neural networks and deep learning systems are useful for a number of tasks, including pattern recognition and classification. These methods can be used to analyze large and complex datasets, and can often achieve high levels of accuracy in tasks that are difficult for traditional algorithms to solve. Additionally, neural networks and deep learning systems are able to learn and improve over time, which makes them particularly well−suited for tasks that involve unstructured or unlabeled data. In this article, we'll examine neural networks and deep learning systems in-depth and discuss how they vary from one another. What is Neural Network? A ... Read More
In natural language processing, the interlingua and transfer techniques are employed to facilitate language translation and other language-related activities. These techniques are valuable because they enable automatic text translation from one language to another, which may be beneficial in a number of scenarios such as international communication or the processing of vast volumes of multilingual text data. In this post, we will examine and contrast the Interlingua Approach with the Transfer Approach. What is the Interlingua Approach? The interlingua approach is a method for translating text from one language to another in natural language processing. Its foundation is the idea ... Read More
Machine learning projects employ machine learning algorithms and techniques to create models that can make predictions or judgments based on input data. These projects frequently include building a machine learning model on a big dataset, followed by utilizing the taught model to make predictions or choices on fresh, previously unknown data. Machine learning projects can be classified into three types: supervised learning, unsupervised learning, and reinforcement learning. The model is trained on labeled data in supervised learning, and the proper output is delivered for each example in the training set. In unsupervised learning, the model is not given with labeled ... Read More