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eudox

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eudoxia.me 9y ago

A Wishlist of Zero-Cost Abstractions

eudox
5pts0
eudoxia.me 10y ago

Using LMDB from Common Lisp

eudox
3pts0
github.com 10y ago

Sklearn-deap: use evolutionary algorithms instead of gridsearch in scikit-learn

eudox
4pts0
blog.monkeylearn.com 10y ago

Building a SEO Tool with Machine Learning

eudox
2pts1
blog.tryolabs.com 10y ago

Building a Docker Image with Templating and Initialization Support

eudox
4pts0
eudoxia.me 11y ago

Lucerne: A Common Lisp web framework

eudox
33pts13
github.com 11y ago

GraphQL parser in Python

eudox
3pts0
github.com 11y ago

Magma: Extending C with macros

eudox
57pts14
eudoxia.me 11y ago

Travis and Coveralls for Common Lisp

eudox
31pts2
blog.tryolabs.com 11y ago

Building a Kanban app in React

eudox
2pts0
eblong.com 11y ago

Rule-Based Programming in Interactive Fiction (2009)

eudox
12pts1
blog.tryolabs.com 11y ago

TLFormView: The Form of the Future Is Here

eudox
6pts0
www.cs.auckland.ac.nz 11y ago

Gregory Chaitin: Elegant Lisp Programs

eudox
1pts0
hackernews.demos.monkeylearn.com 11y ago

Hacker News categorizer with MonkeyLearn

eudox
51pts1
blog.tryolabs.com 11y ago

Drag and Drop in React

eudox
3pts0
blog.monkeylearn.com 11y ago

Analyzing News Headlines with MonkeyLearn and Kimono

eudox
10pts1
blog.tryolabs.com 11y ago

Building a static email client app using React

eudox
10pts0
www.loper-os.org 11y ago

MicroWriter Emulator

eudox
3pts0
blog.tryolabs.com 11y ago

Elasticsearch Analyzers, or How I Learned to Love Custom Filters

eudox
12pts0
blog.tryolabs.com 11y ago

Python + Elasticsearch + Star Wars

eudox
10pts0
www.monkeylearn.com 11y ago

Show HN: MonkeyLearn – Text Mining Made Easy

eudox
40pts8
blog.tryolabs.com 11y ago

Show HN: Metamon – A Vagrant/Ansible toolkit for kickstarting Django apps

eudox
75pts13
people.csail.mit.edu 11y ago

Getting Started in *Lisp (1991) [pdf]

eudox
75pts19
jliszka.github.io 12y ago

Exact numeric nth derivatives

eudox
2pts0
eudoxia0.github.io 12y ago

Crane: An ORM for Common Lisp

eudox
99pts30
github.com 12y ago

Lisp macros for C

eudox
116pts72
tante.cc 12y ago

The Day We Click Back

eudox
1pts0

The problem was that the Chavista regime bungled the state-owned oil company so badly that it didn't have enough money even when crude prices were high, and really doesn't now that they're low.

Naturally, the problem is but a mere implementation detail.

You see a lot of mixed-income neighborhoods in Houston - places where people are building $700,000 homes where 80% of the same street are 1000 square foot shacks with people living in them making $20k a year. Luckily for them, their lots are worth half a million dollars. I don't know if this is the result of the lack of zoning, but I don't see this happening in other cities in Texas, so I have to think it's somehow related.

This is a "damned if you do, damned if you don't" kind of thing. If neighborhoods are income-segregated, there is no end to opinion pieces about this awful late-capitalist crypto-apartheid. If neighborhoods are mixed-income, then the hand-wringing is about rich people living behind walls next to a shanty town.

22nd Century C 10 years ago

The included header file uses the macro system, among other things, to bring C99 up-to-date with more modern programming techniques, using what we've learnt in the past decades since C was conceived.

In fairness however the short POD type names are purely cosmetic.

Yes, that's the point. But it's very hard to point to the effective engineering limit.

For example: the ultimate limit to computing power is Bremermann's limit, but that's only reached in the surface of a black hole. The effective limit of computation – how much you can compute in Baryonic matter – is going to be far lower. How low is a hard question to answer.

The only context where Argentina can be in the same sentence as Australia is in a list of countries in the Southern Hemisphere, or countries whose names start with an 'A'.

A better way to read this map: countries in the deep red are places where people have tamed this inhuman, unforgiving Earth, and people can lead happy and self-defined lives.

Countries in the deep green are where people are at the mercy of nature and die of 20th century causes.

People in the former complain that it is too "antiseptic" or "artificial", occasionally gawk at the latter and chastise everyone for not living in misery, always from the comfort of a city where the vast infrastructure that supports their lives is perfectly out of sight and out of mind.

Singapore: 16000%

So the takeaway from this is you should aim for high biocapacity deficit, right?

I mean, I live in a deep green country, and it's a filthy dump.

they only shifted the problem once again

Shifting the problem is a sometimes a good thing.

In this case, because it means the energy can now come from effective sources (nuclear) instead of carrying petrochemicals in the vehicle.

Agricultural output is still growing, but there are physical limits.

And people frequently confuse engineering limits with physical limits.

What they saw was that, not only did the star's light output occasionally dip by 20 percent - the weird behaviour scientists first spotted last year - but over the course of the observations, its entire stellar flux actually dimmed.

It would be interesting if this turned out to be like the OnOff star from A Deepness in the Sky.

Equality, like copying, is often more complicated than that. You often run into a problem where you need a domain-specific equality function for your objects.

Which is not to say that automatic derivation of generic functions is not useful, but it's not really a game changer.

Algebraic data types and pattern matching are equivalent to having a class hierarchy and implementing the same method for each class.

The idea that Haskell or OCaml or SML are specially suited for compiler writing is a nineties truism that is thrown around a lot, never backed by any evidence whatsoever.