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THE VIDEO SHELF · programming fundamentals with Lisp

Lecture 1A: Overview and Introduction to Lisp

The first lecture of MIT's 6.001 (SICP) with Abelson and Sussman, giving an overview of the course and an introduction to Lisp. It argues that computer science is about managing complexity and abstraction, not computers.

Why HN readers recommended it

HN people recommend the SICP lectures as a deeper, livelier route into the book and a formative course even for seasoned programmers.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
MIT OpenCourseWare
Topic
programming fundamentals with Lisp
Format
lecture
Level
intro
HN recommenders in dataset
10
HN mentions in dataset
20
Recommendation years in dataset
2019–2026

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • Learn LISP/Scheme and lots of fundamental concepts you probably have a feel for, but in a far more profound way: 1. First watch the SICP series ( [VIDEO] ) 2. Then work through the book ( [LINK] ) If you really do the exercises (an …

    floathub on Hacker News · 2020-04
    In Ask HN: How to rediscover the joy of programming?
  • The real beauty is in how few operators you need to achieve maximal expressiveness in a programming language. It makes other programming languages seem extra. Highly recommend the SICP lectures [VIDEO]

    k00b on Hacker News · 2020-12
    In Ask HN: What new programming languages did you learn in 2020?
  • The class mentioned in the article was actually made available under Creative Commons by the MIT OpenCourseWare[1], you can see the entirely of the course in Youtube. I watched and cannot recommend it enough, even for seasoned programmers [1]: [VIDEO]

    augusto-moura on Hacker News · 2021-03
    In Not Lisp again (2009)

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.