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

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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. ==================================================================== 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(?). ==================================================================== 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. ==================================================================== 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. Want to help? Thank you for reading! If you enjoy the newsletter, I would really appreciate you helping me spread the word by forwarding this to your friends and colleagues! If you want to discuss or comment on this issue, head on over to this page at A Byte of Coding. You can also subscribe there if you're new! Have comments or feedback? Just reply to this email or hit me up on Twitter @AByteOfCoding. Email landed in your promotions tab? Please move it over to primary so you don't miss the latest issues in the future. Thanks for your Support!  Thanks to sponsors and supporters like Євген Грицай, Scott Munro, zturak, pek, Emil Hannesbo, and Joe Hill this newsletter is provided to you for free. If you'd like to also show your support and buy me a monthly meal, you can donate on the Patreon page. It's not necessary, but it lets me know that I'm doing a good job and that you're finding value in the content.

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