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...