As a programmer, much of your challenge is to cope with unceasing change: new protocols, application programming interfaces (APIs), customer requirements, hardware constraints, and so on.
作为程序员，很多挑战是要应付不断的更改：新的协议、应用程序编程接口(API)、客户需求、硬件约束等。
On modern hardware, most non-optimized Python programs run as fast as they need to, and there is really no point in spending extra programming effort to make an application run faster.
在最新的硬件上，大多数非优化的Python程序运行的速度和所需要达到的速度一样快，而且，花费额外的编程工作以使应用程序运行得更快实在没什么意义。
A managed programming model for data parallelism, task parallelism, and coordination on parallel hardware unified by a common work scheduler.
一个托管编程模型，支持数据并行处理，任务并行处理，并通过一个通用的工作调度器统一协调并行运行的硬件。
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