This course is aimed mostly at people who are not developers, and no programming experience will be required. The exercises are based around an API for topic everyone understands — a hospital. WriteLessons, from Cherryleaf, provides you with access to a range of courses in technical communication. You have access to all of the courses contained within WriteLessons, which you can take at your own pace.
Cherryleaf is a technical writing services company formed in by people with a passion for technical communication and learning development. Cherryleaf is recognised as a leader within the technical communication profession. They've also written books on technical communication.
We've presented webinars for Adobe, Madcap Software or the STC, and we've spoken at various conferences around the world. The coupon code you entered is expired or invalid, but the course is still available! What is an API? The audience for API documentation What do they want? Your Instructor Cherryleaf. Courses Included with Purchase. This online training course teaches the basic skills in single sourcing and writing content for reuse.
Frequently Asked Questions When does the course start and finish? It is a completely self-paced online course - you decide when you start and when you finish. After enrolling, you have access to this course for as long as you are a subscriber - across any and all devices you own. We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.
Get started now! Paid Course Coupon Discount.If you're working with client-side applications, such as mobile apps or web apps, learning to develop REST APIs can greatly enhance and empower you. By working with a server you can share functionality amongst apps, add authentication and user roles, or save data in the cloud.
I'm Jose, and I'll be your instructor in this course. We'll start at the very beginning. If you already have some Python knowledge, great. If not, no problem! We'll do a complete Python refresher course covering all essential Python content before diving into Flask. Throughout the course, you'll learn how to develop professional-grade REST APIs which include authentication, deployment, database interactions, and much more.
Flask is a very minimal framework that gets you up to speed in record time. It's also really powerful, made possible by its numerous extensions. We'll also look at some essential development technologies such as Git, nginx, uwsgi, and PostgreSQL. Hi, I'm Jose! I love helping students learn to code and master software development. I've been teaching online for over 6 years, and I founded Teclado to bring software development to everyone—my objective is for you to truly understand everything that goes on behind the scenes.
Thank you for considering this course. I also wanted to say: there's a tremendous community just for students in Slack.
REST APIs with Flask and Python
Here you can chat with other students as well as the teaching team. If you have any questions or get stuck, we're always available to help!This app There is no iPad version, on iPhone you cant skip or go back seconds unless you download the video in which the apple's player takes over, which brings me to the next and biggest issue I was really excited about this app as a way to securely offer offline access for my customers without making it easy for pirates to steal my content.
Unfortunately, Teachable makes your videos downloadable automatically in the web app if you enable offline access in the iOS app. You cannot just enable the offline iOS access by itself.
The response from their support team is that pirates could do a screen recording of a stream, which is not very customer friendly and strikes me as a lazy position to take. It is true, but it overlooks the much higher burden it creates by requiring a thief to spend the time and know how to record and compress the stream.
I can live with that risk, but cannot accept the idea that Teachable would aid pirates by making it so easy to steal the content. The app is otherwise very good. I am trying to access my courses on my iPad to play the videos on the go on a bigger screen than on my phone, as well as to read the content on a tablet which is more the size of an actual book page than a phone will ever be, and I come to the disappointing surprise of the fact that the myTeachable app is not supported on the iPad at a native resolution.
I had to download the phone version to at least access the content of my courses, but we all know how ugly iPhone apps look on an iPad. Please Teachable, get your act together and an iPad app should be one of your priorities. You're an educational company, come on! Requires iOS Compatible with iPhone, iPad, and iPod touch.
App Store Preview. Jul 17, Version 2. Ratings and Reviews See All. Information Seller Teachable Inc. Size Category Education.
It gets added as an object to your window so you can access via window. You can upload your model files from a local hard drive by using a file picker and the File interface. Once you have loaded a model, you can obtain the class labels i. Once you have loaded a model, you can make a classificaiton with a couple of different input options. This is an alternative function to predict which returns the probability for all classes.
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You can optionally use a webcam class that comes with the library, or spin up your own webcam. This class exists on the tmImage module. Skip to content. Branch: master. Create new file Find file History. Latest commit. Latest commit 3f Nov 6, Webcam, true ; await webcam. You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Refactor to put librarires in subfolder and snippets in other folder.
Sep 27, Nov 6, New snippets with model URLs for image library. Nov 4, Typo - Was missing model urls in load function. Nov 5, Bump up libraries to 0.
Oct 28, New webcam class that renders a canvas. Nov 3, GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.
If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. Teachable machine allows you to quickly and interactively train a computer vision system to recognize objects simply by offering up examples to a camera and pressing one of 4 buttons to select the classification. The project is a demonstration of the use of pre-trained embeddings for classification which obviates the need for retraining a whole network potentially at the expense of accuracy.
As in previous teachable machine incarnations Creative Lab and Tensorflow. Even with a small number of examples the teachable machine can distinguish objects relatively independent of their exact orientation, etc. The UI is intuitive and immediately rewarding, while the embedded device responds quickly and with low latency.
Teachable machine relies on a pretrained image recognition network called MobileNet. This network has been trained on a vast number of images of different objects and has learned to recognize them such as cats, dogs, cars, fruit, birds etc.
This internal representation can be used to quickly learn to distinguish new class the network has never seen, essentially a form of transfer learning. Teachable machine treats this output vector as a generic descriptor for a given camera image, called an embedding vector. The main idea is that semantically similar images will also give similar embedding vectors.
Each time the user presses a button the algorithm stores the embedding vector and its associated class in a dictionary. More info on the details of the algorithm are in this detailed post. If it's not enabled you may need to enable it in raspi-config. Also update your system.
After attaching your camera, all you have to do is:. To operate our Teachable machine we need to teach it! I usually just press '1' a few times before offering up any real examples to the camera. Now hold an item over the camera and press one of the other buttons GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.
If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. Now you can just authenticate once with your email and password and hit all the endpoints conveniently!
In order to use the gem, you first need to register an account with Teachable. You used to have to make a complicated post request directly to Teachable's API via this complicated curl request:. But no longer! After you've included this gem in your Gemfile and run 'bundle', you can register to the Teachable using this much simpler method call:. Note the password field has to be at least 8 letters long and the email address cannot already exist in the database.
If you are an already registered user and simply want your credentials sent back to you, you can simply get your credentials via this. Note the returned value of the. There are two ways to do this:. Give that above method a try! That email and password are valid.
You should see something like this return:. This doesn't actually truly authenticate with the API All you need to provide to the authenticate convenience method are your already registered and valid email and password.
That's it! Once you've registered and authenticated, you an start making queries to the API. Currently, the Teachable API has 4 endpoints:. However, in future versions we will likely take this away since your are currently authenticated by this point. The above convenience method will destroy an order for the currently authenticated user. Then, run rake spec to run the tests. To install this gem onto your local machine, run bundle exec rake install.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.
If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again.
Teachable Machine is an experiment that makes it easier for anyone to explore machine learning, live in the browser — no coding required. Learn more about the experiment and try it yourself on g.
The experiment is built using the TensorFlow. Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Sign up. Explore how machine learning works, live in the browser.
Go back. Launching Xcode If nothing happens, download Xcode and try again. Latest commit. HalfdanJ Fix edge issue. Latest commit 9bcc Nov 19, Teachable Machine About Teachable Machine is an experiment that makes it easier for anyone to explore machine learning, live in the browser — no coding required.
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Bug fixes, sharing fixes and update to latest tensorflow. Oct 4, Fix edge issue.
Nov 19, Teachable Machine. Oct 3,