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mnm/Protocol.md at master · networkimprov/mnm
mnm/Protocol.md at master · networkimprov/mnm
mnm enables a new email network, via a sane, simple protocol, and client & server apps which speak it. Contributors welcome! (Server) - mnm/Protocol.md at master · networkimprov/mnm
·github.com·
mnm/Protocol.md at master · networkimprov/mnm
Concurrency vs. Parallelism
Concurrency vs. Parallelism
Concurrency and parallelism are two terms often used in relation to multithreaded applications. This tutorial explains the difference between concurrency and parallelism.
·tutorials.jenkov.com·
Concurrency vs. Parallelism
A Brief Introduction to Esoteric Languages • Hillel Wayne
A Brief Introduction to Esoteric Languages • Hillel Wayne
This is the companion reference for A Brief Introduction to Esoteric Languages, my lecture for a friend’s college class. The video should be legible to other viewers, and the material here should be (mostly) understandable without watching the video. The Esolangs Listed roughly in order of appearance in the talk, with the exception of Piet, which was moved to fit in with the other multicoded esolangs. INTERCAL Don Woods, 1972.
·hillelwayne.com·
A Brief Introduction to Esoteric Languages • Hillel Wayne
A way to do atomic writes [LWN.net]
A way to do atomic writes [LWN.net]
Finding a way for applications to do atomic writes to files, so that either the old or new data is present after a crash and not a combination of the two, was the topic of a session led by Christoph Hellwig at the 2019 Linux Storage, Filesystem, and Memory-Management Summit (LSFMM). Application developers hate the fact that when they update files in place, a crash can leave them with old or new data—or sometimes a combination of both. He discussed some implementation ideas that he has for atomic writes for XFS and wanted to see what the other filesystem developers thought about it.
·lwn.net·
A way to do atomic writes [LWN.net]
crash - Are disk sector writes atomic? - Stack Overflow
crash - Are disk sector writes atomic? - Stack Overflow
Clarified Question: When the OS sends the command to write a sector to disk is it atomic? i.e. Write of new data succeeds fully or old data is left intact should the power fail immediately followin...
·stackoverflow.com·
crash - Are disk sector writes atomic? - Stack Overflow
Your Makefiles are wrong · Jacob Davis-Hansson
Your Makefiles are wrong · Jacob Davis-Hansson
Your Makefiles are full of tabs and errors. An opinionated approach to writing (GNU) Makefiles that I learned from Ben may still be able to salvage them.
·tech.davis-hansson.com·
Your Makefiles are wrong · Jacob Davis-Hansson
How to Not Use Our Build Tool - Earthly Blog
How to Not Use Our Build Tool - Earthly Blog
I wanted to sit down and write about all the tricks we learned and that we used every day to help make builds more manageable in the absence of Ear...
·earthly.dev·
How to Not Use Our Build Tool - Earthly Blog
German ID Studio's Killer Concept for a Desktop Meteorological Instrument - Core77
German ID Studio's Killer Concept for a Desktop Meteorological Instrument - Core77
Fischer is a German company that manufactures handmade precision weather and climate measuring instruments. One of their product categories is the weather station, which combines a barometer, hygrometer and thermometer. These are pretty sober-looking instruments: They've got just a few where the designer(s) seemed to loosen
·core77.com·
German ID Studio's Killer Concept for a Desktop Meteorological Instrument - Core77
What Everyone Gets Wrong About No-Code – The New Stack
What Everyone Gets Wrong About No-Code – The New Stack
Bringing business users into the development process is great, but giving engineers a better way to build software is a paradigm shift for the enterprise Throughout my career, I’ve introduced myself as a hacker that started coding in 5th grade. From my early days on Wall Street to my time as a Fortune 50 CIO…
·thenewstack.io·
What Everyone Gets Wrong About No-Code – The New Stack
Matters of Time - 99% Invisible
Matters of Time - 99% Invisible
For the most part, we take time for granted; maybe we don’t have enough of it, but we at least know how it works — well, most of the time. A lot of what we think about time is relatively recent, and some of what we take for granted isn’t quite as universal as one
·99percentinvisible.org·
Matters of Time - 99% Invisible
GitHub OCTO | Flat Data
GitHub OCTO | Flat Data
OCTO Project: Flat explores how to make it easy to work with data in git and GitHub. It builds on the “[git scraping” approach pioneered by Simon Willison](https://simonwillison.net/2020/Oct/9/git-scraping/) to offer a simple pattern for bringing working datasets into your repositories and versioning them, because developing against local datasets is faster and easier than working with data over the wire.
·octo.github.com·
GitHub OCTO | Flat Data
Can the Digital Future Be Our Home?
Can the Digital Future Be Our Home?
This post features three fantastic books from three great, but quite different, authors on the subject of Big Tech, surveillance capitalism, and what's to be done about it.
·windley.com·
Can the Digital Future Be Our Home?
The misc control group [LWN.net]
The misc control group [LWN.net]
Control groups (cgroups) are meant to limit access to a shared resource among processes in the system. One such resource is the values used to specify an encrypted-memory region for a virtual machine, such as the address-space identifiers (ASIDs) used by the AMD Secure Encrypted Virtualization (SEV) feature. Vipin Sharma set out to add a control group for these ASIDs back in September; based on the feedback, though, he expanded the idea into a controller to track and limit any countable resource. The patch set became the controller for the misc control group and has been merged for Linux 5.13.
·lwn.net·
The misc control group [LWN.net]
Machine Learning at Scale: Getting Models to Production – The New Stack
Machine Learning at Scale: Getting Models to Production – The New Stack
For organizations, getting machine learning (ML) models to production and into the hands of customers has been a significant challenge. According to reports in Venturebeat and redapt, almost 90% of the models that data scientists build never make it successfully to production. This is extremely unfortunate because machine learning initiatives are supposed to solve real-world…
·thenewstack.io·
Machine Learning at Scale: Getting Models to Production – The New Stack
CommonMark
CommonMark
·commonmark.org·
CommonMark