This article will walk you through setting up a Jupyter Notebook environment with TensorFlow pre-installed using Docker. Docker allows you to run isolated containerized applications, providing a consistent environment regardless of your underlying operating system. Prerequisites: Docker: Ensure you have Docker installed and running on your system. You can download and install it from the official Docker website ( https://www.docker.com/ ). Steps: Start Docker: Open your Docker application (Docker Desktop for Windows/macOS or the command line if using Linux). Run the Jupyter Notebook container: For macOS/Linux: Open your terminal application and run the following command: docker run -it --rm -p 8888:8888 -v "${PWD}":/home/jovyan/work jupyter/tensorflow-notebook For Windows: Open your Command Prompt application and run the following command: docker run -it --rm -p 8888:8888 -v "%CD%":/home/jovyan/work jupyter/tensorflow-notebook Explanation of the command flags: -
Introduction In this article, I will guide you through the process of hosting a static website on Amazon Web Services (AWS) S3 bucket, mapping it to a custom domain, and enabling HTTPS. I recently went through this process and found it to be a bit complex, so I wanted to share my experience to help others. Prerequisites An AWS account A static website built and ready for deployment A registered domain name with a third-party registrar (e.g., GoDaddy) Step 1: Create an S3 Bucket and Upload Static Website Sign in to the AWS Management Console and navigate to the Amazon S3 service. Click “Create bucket” and provide a unique DNS-compliant name for your bucket. Choose a region for your bucket and click “Create”. Upload your static website files to the bucket and make the bucket public. Step 2: Enable Static Website Hosting and Set Index Document Go to the Properties tab of your bucket. Scroll down to the “Static website hosting” box and click “Edit”. Select “Enable” and e