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Lecture 6A: Streams, Part 1

August 22, 2019
by
MIT OpenCourseWare
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Lecture 6A: Streams, Part 1

TL;DR

Stream programming allows for the efficient and elegant organization of computations by using delayed evaluation.

Transcript

PROFESSOR: Well, last time Gerry really let the cat out of the bag. He introduced the idea of assignment. Assignment and state. And as we started to see, the implications of introducing assignment and state into the language are absolutely frightening. First of all, the substitution model of evaluation breaks down. And we have to use this much more... Read More

Key Insights

  • 🎏 Stream programming allows for the efficient organization of computations by using streams and delayed evaluation.
  • 🪈 Delayed evaluation separates the actual order of events in the computation from the apparent order in the program.
  • 🎏 Memoization can further optimize stream programming by caching results of computations and avoiding redundant calculations.

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Questions & Answers

Q: How does stream programming differ from traditional programming?

Stream programming involves organizing computations using streams, which are data structures that compute themselves incrementally. Traditional programming mixes up the generation and testing of data, whereas stream programming separates these processes.

Q: How does delayed evaluation work in stream programming?

Delayed evaluation is achieved by using delay and force operations. Delay creates a promise to compute an expression when needed, while force executes that promise and retrieves the result. This allows for on-demand computation and more efficient processing.

Q: What is memoization in stream programming?

Memoization is the process of caching the results of computations to avoid redundant calculations. In stream programming, memo-proc is a technique that transforms a procedure into a version that only needs to compute its result once, improving efficiency.

Q: Can stream programming handle side effects or state?

Stream programming is typically used with pure functions that do not have any side effects or state. Introducing side effects or state can complicate the computations and may not be compatible with this programming paradigm.

Summary & Key Takeaways

  • Stream programming involves using streams as data structures that compute themselves incrementally.

  • Streams are created using the CONS-stream, head, and tail operations.

  • Delayed evaluation, through the use of delay and force, allows for more efficient computation by only generating as much data as needed.

  • Memo-proc is a technique that further optimizes stream programming by caching results of computations.


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