Ray

1. 1
   Install Ray

   Install Ray using pip. This will give you the core Ray libraries and command-line tools.
2. 2
   Initialize Ray

   Initialize a Ray cluster. This starts the Ray runtime environment.
3. 3
   Define a Ray Task

   Define a Python function and decorate it with `@ray.remote` to turn it into a Ray task. Ray tasks can be executed in parallel on the Ray cluster.
4. 4
   Execute Tasks in Parallel

   Call the remote function using `.remote()` to submit the task to the Ray cluster. This returns a `Future` (an `ObjectID`) immediately.
5. 5
   Retrieve Results

   Use `ray.get()` to retrieve the results of the Ray tasks. `ray.get()` blocks until the results are available.
6. 6
   Shutdown Ray

   Shutdown the Ray cluster when you are finished.

Start by installing Ray and initializing a local Ray cluster. Then, define a simple function and use `@ray.remote` to turn it into a Ray task. Submit several tasks in parallel and retrieve the results.

• Articleray.io