Parallel programming is infamously error-prone, not only due to correctness issues but also subtle performance problems which can easily negate the benefits of parallelism. MaPLe (MPL for short) is a parallel functional language that seeks to address these issues by providing strong guarantees on both safety and efficiency. A key feature of MPL is that it is provably efficient relative to the work-span cost model, preserving all logical parallelism in the source program while ensuring low overhead and high scalability in practice. In this tutorial, we will present MPL, overview the key ideas underpinning its design, and give a hands-on introduction to writing code with MPL and evaluating the performance of parallel code in practice.