In this chapter, we saw a variety of useful features provided by IPython. While no single feature is of game-changing importance, each provides the right tool for its job.

IPython's timing utilities, whether through the utils.timing or the timeit and prun magics, provide a quick and easy way to measure application performance.

The AsyncResult class provides more than a variety of different methods of obtaining results from asynchronous jobs. Metadata about the results is also available, allowing the developer to access important information such as when a job was started and its error status.

Given this data about jobs, the Client class provides access to job-control functionality. In particular, queues can be accessed and jobs and engines can be stopped based on their status.

A Client object can be used to obtain a View object (either a DirectView or a LoadBalancedView). Both Views are the primary mechanisms by which jobs are started on engines.

DirectView works as a multiplexer. It...