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Good With Computers

Company blog · sixty-north.com/blogprogramming

Good With Computers is the company blog at sixty-north.com, writing about programming. Since 2014, 7 different Hacker News readers have linked it 7 times, most often “Understanding Transducers Through Python”. The last post was in 2021, but the archive is still widely read.

Visit the blog
7mentions?
7HN people?
2014–2023first – last linked?
Links on Hacker News per year · peak 3 in 2014

Too few sampled comments (2) to say how often HN recommends it.?

Why HN links it

HN readers link Sixty North's blog for its eight-part series on transducers from first principles in Python, and for a post on software evolution and employee churn that cites Meir Lehman's laws.

Summarised by Claude from a sample of 2 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Most-linked posts?

  1. Understanding Transducers Through Python
    2 people · 2 mentions · first linked 2015-11-20

What Hacker News says?

  1. A similar, but different, project, with associated learning material: - https://github.com/abingham/python-transducers - http://www.slideshare.net/alinadolgikh/austin-bingham-transd... - http://sixty-north.com/blog/series/understanding-transducers... The last link is an 8 part blog series discussing transducers from first principles, and discussing their use (still in the context of Python).

    Comment linking /blog/series/understanding-transducers-through-python

    on “Transducers for Python”
  2. Submitted Predictive Models of Development Teams and the Systems They Build as a story · 9 points

    HN discussion
  3. Meir Lehman wrote [1] extensively about software lifecycles and evolution, and came up with what he called "laws". Most of them should be familiar to HN readers. To sum up as succinctly as I can: programs in use undergo continual change; as a program is changed, it becomes more complex; the quality of the system will degrade over time unless rigorously maintained. He also wrote that over time a software system, thro…

    Comment linking /blog/predictive-models-of-development-teams-and-the-systems-they-build.html

    on “Theory-building and why employee churn is lethal to software companies”
  4. Submitted Understanding Transducers Through Python as a story · 2 points

    HN discussion
  5. Submitted Python’s Super(): Not As Simple As You Thought as a story · 2 points

    HN discussion
  6. Submitted Deriving Transducers from First Principles (2015) as a story · 1 points

    HN discussion
  7. Submitted Modeling Development Teams as a story · 1 points

    HN discussion

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