Author name: Aravind Arumugam

How Google Chrome’s New IP Protection Feature Will Protect You from Online Tracking

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Your IP address is a unique identifier that can be used to track your online activity. Advertisers and other third-party companies often use IP tracking to build profiles of users and target them with personalized ads. Google Chrome’s new IP Protection feature aims to protect users from this type of tracking by masking their IP addresses. When the feature is enabled, Chrome will route users’ traffic through a proxy server, which will hide their real IP address from the websites they visit. This feature is still under development, but it has the potential to significantly improve user privacy online. Here are some of the ways that the IP Protection feature can protect you from online tracking: Prevent cross-site tracking: Cross-site tracking is a technique that allows advertisers to track users across multiple websites. This is done by placing cookies on users’ browsers that can be used to identify them on different websites. The IP Protection feature can prevent cross-site tracking by masking the user’s IP address from websites. Protect your location: Your IP address can be used to determine your approximate location. Advertisers and other third-party companies often use this information to target users with location-based ads. The IP Protection feature can protect your location by masking your IP address. Make it more difficult to track your online activity: The IP Protection feature can make it more difficult for advertisers and other third-party companies to track your online activity. By masking your IP address, you can make it more difficult for them to build a profile of your online interests and target you with personalized ads. Overall, the IP Protection feature is a promising new privacy feature in Google Chrome. It has the potential to significantly reduce the amount of data that advertisers and other third-party companies can collect about you online. Additional details: The IP Protection feature will be opt-in at first, but Google plans to make it the default setting in the future. The feature will initially only work for specific domains, but Google plans to expand it to include more domains in the future. The IP Protection feature is not a replacement for a VPN. A VPN encrypts all of your traffic and routes it through a VPN server, while the IP Protection feature only masks your IP address for specific domains. How to enable the IP Protection feature: Open Google Chrome. Click the three dots in the top right corner of the window. Click “Settings.” Click “Privacy and security.” Under “Advanced,” click “Site Settings.” Click “Additional permissions.” Click “IP address.” Select “Block all requests.” Conclusion: Google Chrome’s new IP Protection feature is a promising new privacy feature that can help to protect users from online tracking. It is still under development, but it has the potential to significantly improve user privacy online.

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Building a Docker container for my react.js app

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To build a Docker container for React.js app, you can follow these steps: Create a Dockerfile. The Dockerfile is a text file that contains instructions for building a Docker image. Create a new file called Dockerfile in the root directory of your project. Add the following instructions to the Dockerfile: FROM node:16 WORKDIR /app COPY package.json . RUN npm install COPY . . EXPOSE 3000 CMD [“npm”, “start”] The FROM instruction specifies the base image that will be used to build the new image. In this case, we are using the node:16 image, which contains the Node.js 16 runtime environment. The WORKDIR instruction sets the working directory for the container. The COPY instruction copies the package.json file and the entire contents of the current directory into the container. The EXPOSE instruction exposes the specified ports on the container. In this case, we are exposing ports 3000. The CMD instruction specifies the command that will be run when the container is started. In this case, we are running the npm command with the start script. Build the Docker image. Once you have created the Dockerfile, you can build the Docker image using the following command: docker build -t my-app . The docker build command builds a Docker image from a Dockerfile. The -t flag specifies the name of the image. In this case, we are naming the image my-app. Run the Docker container. Once you have built the Docker image, you can run it using the following command: docker run -p 3000:3000 my-app The docker run command runs a Docker image. The -p flag maps the specified ports on the host machine to the exposed ports on the container. In this case, we are mapping port 3000 on the host machine to the corresponding ports on the container. Once the Docker container is running, you can access the React.js UI app at http://localhost:3000. To share the Docker container image with others, you can push it to a Docker registry, such as Docker Hub. Once the image is pushed to the registry, others can pull it down and run it.

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Meta Code Llama: The AI Tool That Can Code for You 

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Meta Code Llama is a state-of-the-art Open source large language model (LLM) that can be used to generate code, translate languages, write different kinds of creative content, and answer your questions in an informative way. It is still under development, but it has learned to perform many kinds of tasks, including Generating code in a variety of programming languages, including Python, C++, Java, PHP, Typescript (Javascript), C#, and Bash. Translating code from one programming language to another. Answering questions about code, such as how to use a particular library or API, or how to debug a piece of code. Writing code documentation. Generating test cases for code. Code Llama is a code-specialized version of Llama 2 that was created by further training Llama 2 on its code-specific datasets, sampling more data from that same dataset for longer. Essentially, Code Llama features enhanced coding capabilities, built on top of Llama 2. It can generate code, and natural language about code, from both code and natural language prompts (e.g., “Write me a function that outputs the fibonacci sequence.”) It can also be used for code completion and debugging. It supports many of the most popular languages being used today, including Python, C++, Java, PHP, Typescript (Javascript), C#, and Bash. Code Llama is available in three model sizes: 7B, 13B, and 34B parameters. The larger models are more capable, but they also require more computing power. Why should you use Code Llama? There are many reasons why you should use Code Llama. Here are just a few: It can save you time: Code Llama can generate code for you, which can free up your time to focus on other tasks. It can improve the quality of your code: Code Llama can help you to identify errors and problems in your code. It can help you to learn new things: Code Llama can generate code examples and explain complex concepts. It can make you laugh: Code Llama can generate funny code, which can be a great way to lighten the mood in a software development team. Here is an example of a funny code snippet that Code Llama generated: Python def print_hello_world_in_pig_latin(): print(“elloHay worldLay!”) print_hello_world_in_pig_latin() This code snippet will print the message “elloHay worldLay!” to the console. The word “hello” is reversed and the suffix “-ay” is added to the end of the word, which is a simple way to translate words into Pig Latin. . Overall, Code Llama is a powerful and versatile tool that can be used by developers of all levels to improve their productivity and to write better code.

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GitHub Copilot Chat: Your Coding Copilot

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Imagine having a coding genie that could answer all of your questions. That’s what GitHub Copilot Chat is all about. GitHub Copilot Chat is a new beta feature that allows you to have conversations with GitHub Copilot right from your editor. This was introduced in july, but only for Business users and now it is available for all GitHub Copilot individual users across Visual Studio and VS Code. For VS code, you can add the extension by searching GitHub Copilot Chat, as show on the below image:- once installed you can access it from left panel. GitHub Copilot Chat is a real-time coding assistant that can help you to: Perform code analysis to break down complex concepts and get explanations of code snippets. Suggest best practices, tips, and solutions tailored to specific coding challenges. Identify and fix security vulnerabilities in your code. Enhance your learning process by helping you learn a new programming language or upskill at speed. Debug code by identifying issues and offering suggestions, explanations, and alternative approaches. GitHub Copilot Chat is a powerful tool that can help developers of all skill levels improve their coding skills and productivity. It is still under development, but it has the potential to revolutionize the way we code. If you’re looking for a way to improve your coding skills and productivity, I encourage you to give GitHub Copilot Chat a try.

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Godaddy Auto SSL

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This instructions are about godaddy free SSL which comes with new godaddy server packages and based on my experience godaddy dont give this info straight-forward on a single call.  After few calls (spent few hours on this calls) i came to know that there is an easy option to just click the button to assign SSL to a newly added domain. So though of sharing…. Go to click find SSL/TLS Status on the options available and click it click Run AutoSSL button on it to assisn a SSL to your new domain added. You need to re-click this buttom every 3 months based on the date mentioned (as pasted below) to keep using the free SSL. “AutoSSL Domain Validated Expires on December 15, 2023. The certificate will renew via AutoSSL.”     In case you have a sub-domain added, go to DNS setting page of the domain name and make sure the sub domain is available as “A” record. If not please add a new “A” record for your sub-domain name.

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