These live under the samples tab for each API and links to the open-source repositories or developer videos are also available here. Now beyond the quick starts are more fully fleshed out sample apps. The docs are structured via the guides tab that features quick starts in multiple languages as well as guides for specific API features. And the G Suite ones live at / whatever the API name is, such as Drive. Now taking it a step further, stitch those photos together into a video, upload it with the YouTube API, then use the Gmail API to tell your friends and family.Įach Google API has official documentation. If you use the Drive API to access file metadata like the timestamp and geolocation, you and your team could actually build an app that auto generates photo albums. And, you’d pitch that everyone who gets back from vacation has to empty out their cameras and phones to an external hard drive. Another example, let’s say you get a job at a startup helping people automate photo albums. One reason to use the Drive API could be, you want to write an app that backs up zip files but expands them in flight to Google Drive. While this sample is in Python, you can guess that the client library upgrades like this, apply regardless of what language you use. The G Suite docs already reflect this change but bear in mind that most of the code in the wild still uses the original libraries. ML | Types of Learning – Supervised LearningĪs you can see, aside from a couple of import changes, managing the OAuth tokens yourself, everything else stays mostly the same.Basic Concept of Classification (Data Mining).Python | Decision Tree Regression using sklearn.ML | Label Encoding of datasets in Python.How to Run a Python Script using Docker?.Best Python libraries for Machine Learning.Decision Tree Introduction with example.
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