App Inventor is a free, cloud-based service that allows you to make your own mobile apps using a blocks-based programming language. You access App Inventor using a web browser (Chrome, Firefox, Safari). With these beginner-friendly tutorials, you will learn the basics of programming apps for Android and iOS phones and tablets.
We have four beginner tutorials to try out. We recommend starting with Hello Codi!, but any of the four tutorials are accessible for novice coders. They can all be completed within an hour.
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This tutorial introduces the reader informally to the basic concepts andfeatures of the Python language and system. It helps to have a Pythoninterpreter handy for hands-on experience, but all examples are self-contained,so the tutorial can be read off-line as well.
This tutorial provides a walkthrough of the basics of the Kubernetes cluster orchestration system. Each module contains some background information on major Kubernetes features and concepts, and a tutorial for you to follow along.
Every Linux system includes a command line of one sort or another. This tutorial includes some specfic steps for Ubuntu 18.04 but most of the content should work regardless of your Linux distribution.
This tutorial introduces ROS using rqt_console and rqt_logger_level for debugging and roslaunch for starting many nodes at once. If you use ROS fuerte or ealier distros where rqt isn't fully available, please see this page with this page that uses old rx based tools.
This tutorial describes some tips for writing roslaunch files for large projects. The focus is on how to structure launch files so they may be reused as much as possible in different situations. We'll use the 2dnav_pr2 package as a case study.
This tutorial teaches you GitHub essentials like repositories, branches, commits, and pull requests. You'll create your own Hello World repository and learn GitHub's pull request workflow, a popular way to create and review code.
To complete this tutorial, you need a GitHub account and Internet access. You don't need to know how to code, use the command line, or install Git (the version control software that GitHub is built on). If you have a question about any of the expressions used in this guide, head on over to the glossary to find out more about our terminology.
This tutorial aims to be the one-stop shop for getting your hands dirty with Docker. Apart from demystifying the Docker landscape, it'll give you hands-on experience with building and deploying your own webapps on the Cloud. We'll be using Amazon Web Services to deploy a static website, and two dynamic webapps on EC2 using Elastic Beanstalk and Elastic Container Service. Even if you have no prior experience with deployments, this tutorial should be all you need to get started.
This document contains a series of several sections, each of which explains a particular aspect of Docker. In each section, we will be typing commands (or writing code). All the code used in the tutorial is available in the Github repo.
There are no specific skills needed for this tutorial beyond a basic comfort with the command line and using a text editor. This tutorial uses git clone to clone the repository locally. If you don't have Git installed on your system, either install it or remember to manually download the zip files from Github. Prior experience in developing web applications will be helpful but is not required. As we proceed further along the tutorial, we'll make use of a few cloud services. If you're interested in following along, please create an account on each of these websites:
Before we move ahead though, let's quickly talk about deleting containers. We saw above that we can still see remnants of the container even after we've exited by running docker ps -a. Throughout this tutorial, you'll run docker run multiple times and leaving stray containers will eat up disk space. Hence, as a rule of thumb, I clean up containers once I'm done with them. To do that, you can run the docker rm command. Just copy the container IDs from above and paste them alongside the command.
To follow along, you need a functioning AWS account. If you haven't already, please go ahead and do that now - you will need to enter your credit card information. But don't worry, it's free and anything we do in this tutorial will also be free! Let's get started.
In the next (and final) part of the tutorial, we'll up the ante a bit and deploy an application that mimics the real-world more closely; an app with a persistent back-end storage tier. Let's get straight to it!
The app that we're going to Dockerize is called SF Food Trucks. My goal in building this app was to have something that is useful (in that it resembles a real-world application), relies on at least one service, but is not too complex for the purpose of this tutorial. This is what I came up with.
The app's backend is written in Python (Flask) and for search it uses Elasticsearch. Like everything else in this tutorial, the entire source is available on Github. We'll use this as our candidate application for learning out how to build, run and deploy a multi-container environment.
The flask-app folder contains the Python application, while the utils folder has some utilities to load the data into Elasticsearch. The directory also contains some YAML files and a Dockerfile, all of which we'll see in greater detail as we progress through this tutorial. If you are curious, feel free to take a look at the files.
Throughout this tutorial, we've worked with readymade docker images. While we've built images from scratch, we haven't touched any application code yet and mostly restricted ourselves to editing Dockerfiles and YAML configurations. One thing that you must be wondering is how does the workflow look during development? Is one supposed to keep creating Docker images for every change, then publish it and then run it to see if the changes work as expected? I'm sure that sounds super tedious. There has to be a better way. In this section, that's what we're going to explore.
In the last section we used docker-compose to run our app locally with a single command: docker-compose up. Now that we have a functioning app we want to share this with the world, get some users, make tons of money and buy a big house in Miami. Executing the last three are beyond the scope of the tutorial, so we'll spend our time instead on figuring out how we can deploy our multi-container apps on the cloud with AWS.
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.
And that's a wrap! After a long, exhaustive but fun tutorial you are now ready to take the container world by storm! If you followed along till the very end then you should definitely be proud of yourself. You learned how to setup Docker, run your own containers, play with static and dynamic websites and most importantly got hands on experience with deploying your applications to the cloud!
I hope that finishing this tutorial makes you more confident in your abilities to deal with servers. When you have an idea of building your next app, you can be sure that you'll be able to get it in front of people with minimal effort.
Your journey into the container world has just started! My goal with this tutorial was to whet your appetite and show you the power of Docker. In the sea of new technology, it can be hard to navigate the waters alone and tutorials such as this one can provide a helping hand. This is the Docker tutorial I wish I had when I was starting out. Hopefully, it served its purpose of getting you excited about containers so that you no longer have to watch the action from the sides.
I would totally love to hear about your experience with this tutorial. Give suggestions on how to make this better or let me know about my mistakes. I want this tutorial to be one of the best introductory tutorials on the web and I can't do it without your help.
Welcome! Are you completely new to programming?If not then we presume you will be looking for information aboutwhy and how to get started with Python.Fortunately anexperienced programmer in any programming language (whatever it may be)can pick up Python very quickly.It's also easy for beginners to use and learn, sojump in!
There is a list of tutorials suitable for experienced programmers on theBeginnersGuide/Tutorialspage. There is also a list ofresources in other languageswhich might be useful if English is not your first language.
The online documentationis your first port of call for definitive information.There is a fairly brieftutorialthat gives you basic information about the language andgets you started. You can follow this by looking at thelibrary referencefor a full description of Python's many libraries and thelanguage reference fora complete (though somewhat dry) explanation of Python's syntax.If you are looking for common Python recipes and patterns, youcan browse the ActiveState Python Cookbook
Bitbucket displays a pop-up clone dialog. By default, the clone dialog sets the protocol to HTTPS or SSH, depending on your settings. For the purposes of this tutorial, don't change your default protocol.
Follow the instructions here to install git (if it's not already installed). Note that for this tutorial we will be using git on the command line only. While there are some great git GUIs (graphical user interfaces), I think it's easier to learn git using git-specific commands first and then to try out a git GUI once you're more comfortable with the command. A note: 95% of other online git resources and discussions will also be for the command-line interface.
The Inkscape community has produced a vast volume of tutorials over the years. At this writing more than 95% are made by Inkscape users, and scattered hither and yon across the internet. The only truly official tutorials are those packaged with the program, which you can find in the Help menu > Tutorials. be457b7860
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