Why does Go not need a fancy expensive garbage collector like Java and C#?

Constructs for Run Time Network Data Management & Analysis; a Data- Centric Approach

Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts

Issue #132

11/29/2021

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Yo yo
Hope you had a great weekend. I had a subscriber suggest that I write about how I actually curate this newsletter. I thought about doing it in a separate article on the blog, but realized there's really not much to write about. I basically just use a feed aggregator that has over 700 sources (personal blogs, company blogs, link aggregate sites passed down to me from Pek), which I go through whenever I'm browsing for stuff to read. If an article has an interesting title, I'll check it out and quickly scan through it. If it passes my scan test, I'll save it for a detailed read later. Since I've been doing this for over two years, my scanning has gotten pretty good. I rarely have to discard an article that has passed the scan test. The only bad part is that it takes time to filter out all of the spam around, and I do feel like I'm taking psychic damage while filtering sometimes. That's pretty much it though. If you have any questions or would like me to cover something else, feel free to reply to this email!
Unrelated, if you come across a site that lists programming newsletters or resources, and feel like the newsletter would be an appropriate addition, send it to me and I'll reach out to the publisher to see if I can get it listed. Anyway, here's the issue.
PS. there are a couple of articles on Medium. If you didn't know, you can just open them in an incognito window to get over the limit BS.

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Why does Go not need a fancy expensive garbage collector like Java and C#?

Published: 2 May 2021
Tags: java, go, compilers


Java is notorious for its bulky garbage collector, but a lot of effort has gone into making it more and more efficient. Erik Engheim's extensive article starts off with explaining memory management in Java, then goes on to explore how the Java garbage collector compares to Go's, and all of the factors that go into making Go's better(?).


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Constructs for Run Time Network Data Management & Analysis; a Data- Centric Approach

Published: 13 November 2021
Tags: data processing


One of the (many) issues with running a large network of real-time data processing is that it becomes fairly difficult to manage and debug issues while it's running. In this informative article, Sunku Ranganath presents several techniques and tools that can be employed in managing a large scale distributed data processing system.


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Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts

Published: 21 September 2021
Tags: machine learning


We've all seen the surreal images of infinitely multiplying dogs and cats that AI can generate. Normally these image generating AIs aren't built using evolutionary strategies (ES). In this pretty article, Yingtao Tian and David Ha resurface some older techniques ES to generate images, with some astonishingly abstract and accurate results.


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