We will do this step by step, the goal here is to learn how to configure the Angular Router by example and learn how to implement some of the very common routing scenarios that you will likely need to implement in your own application.
The course by Yossef Ayman Zedan is a detailed guide for learning advanced Bootstrap 5 skills from scratch. It starts with the basic techniques and components. Then quickly jumps into a series of 13 real world projects that will keep you motivated on the learning journey.
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Like most Spring Getting Started guides, you can start from scratch and complete each step or you can bypass basic setup steps that are already familiar to you. Either way, you end up with working code.
Installing Bootstrap is the first step in building a website using this framework. Start by downloading Bootstrap from the official website. Once downloaded, extract the files and locate the CSS and JS folders. Copy the bootstrap.min.css file and paste it into your project's CSS folder.
This article is a comprehensive guide on how to simplify website development using Bootstrap. It covers everything you need to know about building a site with this popular framework. The guide breaks down the process into easy-to-follow steps, from understanding the basics of Bootstrap to customizing and enhancing your website's design.
Let's start by taking baby-steps. The first thing we're going to look at is how we can run a dead-simple static website. We're going to pull a Docker image from Docker Hub, run the container and see how easy it is to run a webserver.
The next step now is to create an image with this web app. As mentioned above, all user images are based on a base image. Since our application is written in Python, the base image we're going to use will be Python 3.
Note: One thing that I'd like to clarify before we go ahead is that it is not imperative to host your image on a public registry (or any registry) in order to deploy to AWS. In case you're writing code for the next million-dollar unicorn startup you can totally skip this step. The reason why we're pushing our images publicly is that it makes deployment super simple by skipping a few intermediate configuration steps.
Congratulations! You have deployed your first Docker application! That might seem like a lot of steps, but with the command-line tool for EB you can almost mimic the functionality of Heroku in a few keystrokes! Hopefully, you agree that Docker takes away a lot of the pains of building and deploying applications in the cloud. I would encourage you to read the AWS documentation on single-container Docker environments to get an idea of what features exist.
Sweet! It's looking good! While we are at it, let's get our Flask container running too. But before we get to that, we need a Dockerfile. In the last section, we used python:3.8 image as our base image. This time, however, apart from installing Python dependencies via pip, we want our application to also generate our minified Javascript file for production. For this, we'll require Nodejs. Since we need a custom build step, we'll start from the ubuntu base image to build our Dockerfile from scratch.
The first step, however, is to install Docker Compose. If you're running Windows or Mac, Docker Compose is already installed as it comes in the Docker Toolbox. Linux users can easily get their hands on Docker Compose by following the instructions on the docs. Since Compose is written in Python, you can also simply do pip install docker-compose. Test your installation with -
Now that we have it installed, we can jump on the next step i.e. the Docker Compose file docker-compose.yml. The syntax for YAML is quite simple and the repo already contains the docker-compose file that we'll be using.
The first step is to install the CLI. Instructions to install the CLI on both Mac and Linux are explained very clearly in the official docs. Go ahead, install the CLI and when you are done, verify the install by running
Next, we'll be working on configuring the CLI so that we can talk to ECS. We'll be following the steps as detailed in the official guide on AWS ECS docs. In case of any confusion, please feel free to refer to that guide.
The first step will involve creating a profile that we'll use for the rest of the tutorial. To continue, you'll need your AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY. To obtain these, follow the steps as detailed under the section titled Access Key and Secret Access Key on this page.
The last and final step is where we'll use our docker-compose.yml file. We'll need to make a few minor changes, so instead of modifying the original, let's make a copy of it. The contents of this file (after making the changes) look like (below) -
The only changes we made from the original docker-compose.yml are of providing the mem_limit (in bytes) and cpu_shares values for each container and adding some logging configuration. This allows us to view logs generated by our containers in AWS CloudWatch. Head over to CloudWatch to create a log group called foodtrucks. Note that since ElasticSearch typically ends up taking more memory, we've given around 3.4 GB of memory limit. Another thing we need to do before we move onto the next step is to publish our image on Docker Hub.
Student-student pair programming? Yes, agile is used every day. We start off with daily standups; project submission happens at the end of the day. There are pair-programming projects, class projects, and individual projects that are completed throughout the course.
Course syllabus: In addition to learning the languages, systems, and tools outlined above, students are required to complete three projects that become part of their portfolios, which are used during the job search post-graduation. Full course syllabi are available online. Software engineering immersive can be found here; data science immersive can be found here; user experience design immersive can be found here.
Student-student pair programming? The program includes paired-programming and design exercises led by the instructors and mentors. This includes the review and presentation steps for their summative assignments as well. Students are evaluated on their individual work.
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As a first step in this tutorial, we will create a simple HTML template as a base where we will use Bootstrap. For that, the first thing you want to do is create a folder on your computer or server for the project files. In this case, we will simply call it bootstrap. Here, create a new text file and call it index.html. Open it with a text editor of your choice (e.g. Notepad++) and then paste the code below into it.
As the next step in this Bootstrap tutorial, we want to include a full-screen background image for our landing page header. To that end, we will have to use some jQuery or JavaScript to make the image stretch all the way across the screen.
As a next step, you probably want to add a page title in the form of a heading plus some body text. That way, your visitors will know immediately which site they are on and what they can expect from it.
When we provide step-by-step instructions to the compiler on how to perform a task (in our case, updating the UI), we use the imperative programming style. However, React lets us declaratively describe what we want instead of providing the steps, and it will figure out how to do the task for us.
This step is one of a few steps that this tutorial has you do manually, but that could have been done automatically by the ASP.NET MVC scaffolding feature. You're doing them manually so that you can see the steps required to use Entity Framework (EF). You'll use scaffolding later to create the MVC controller and views. An alternative is to let scaffolding automatically install the EF NuGet package, create the database context class, and create the connection string. When you're ready to do it that way, all you have to do is skip those steps and scaffold your MVC controller after you create your entity classes.
The next step is finding your website a home. Web hosting services provide the necessary servers to host your site and millions of others. For instance, shared hosting services use one platform to host many sites on one server. Virtual private servers offer upgraded services with fewer sites. Dedicated hosts are usually the most expensive, though the server belongs entirely to you. The options can be overwhelming at first, but you can start small and familiarize yourself with what works best for your website over time.
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