thelastnode
The Uber Game: can you make it in the gig economy?
I think the intent was for this to be more of a demonstrative example, and with a more complex, evolving, real-world processing pipeline, Akka streams could be really useful.
Understanding the Emotional Response (2015)
1. Create an entry "foo"
2. Check the box, observe strikethrough on "foo"
3. Check the "check/uncheck all" box (left of input box)
4. Observe strikethrough still present on "foo"
Digging in to the code[2], it looks like the "model-less" tenet caused the CSS class on the text and checkbox to go out of sync. In React, this would be a re-render and change in the virtual DOM, or in Angular, both would be bound to a shared model/scope.
If the simple TodoMVC example has a bug like this, the framework might not work too well for larger applications.
[1]: http://t3js.org/examples/todo/
[2]: https://github.com/box/t3js/blob/gh-pages/examples/todo/live...
Writing a Spotify Client in Emacs in 16 Minutes
Simplicity is great, but sometimes complexity is warranted. More importantly, assuming other smart people (many other smart people) are wrong without deep thought is not a good idea.
While I have worked through a decent amount of CLRS myself, I think there are much better ways to learn how to solve algorithmic problems. For example, programming competition books like Programming Challenges[1] forces students to solve real-world-ish problems according to performance constraints - a time constraint, either artificial (e.g., problem statement requires execution within 2 seconds) or actual (e.g., choosing an algorithm that is too slow means the sun will burn out before the algorithm terminates).
Books and contests of this nature teach algorithmic thinking, which is far more important than the actual algorithms themselves. It also provides a context for implementing these algorithms, which means the student gets to see the more practical aspects as well: testing it on corner cases, fighting with the chosen implementation language, relying on compiler optimization, etc.
If the goal of the undergraduate program is to develop practitioners of computer science, or even graduates headed for academia, algorithmic thinking is essential. I don't think CLRS is necessarily the best way to teach that, and it certainly isn't the only way.
[1]: http://www.programming-challenges.com/pg.php?page=index
This means that if there is a file ./lib/foo.coffee, the following code in bar.js will work:
require('coffee-script');
var foo = require('./lib/foo');
Yes, some people may not like Coffeescript anywhere in their project, but this functionality makes it easy to add Coffeescript to an existing Javascript project or use Coffeescript modules as a blackbox in a Javascript project.Neither seem to support WebSockets (though the Heroku article I found was a bit dated[1]) for the time being.
From the article, it seems like AppHarbor doesn't automagically pull in the dependencies from the package.json, which Heroku does.
Add-ons wise, there is a lot of overlap, but Heroku definitely has more at the moment.
Heroku lets you run one-off processes, which is nice for debugging. I couldn't find this functionality on AppHarbor.
[1]: http://blog.heroku.com/archives/2011/6/22/the_new_heroku_2_n...
Jokes aside, timing out would be useful.
The {} means "replace with filename" and the semicolon (escaped so your shell doesn't eat it). This will run wc -l <filename> for every file that matches.
The -regex flag lets you do the same thing as -name with regular expressions.
The problem with this is we run n different wc's, as opposed to just one with all the parameters. We can use xargs to fix this: find . -name .java | xargs wc -l
This even gives you a total!
The really* simple solution (which is probably best) is to just use shell globbing: wc -l *.java
While find and xargs are definitely useful, the easy solution here works better
This is a great post given that a lot of the OpenCV functions, while powerful, are either missing documentation or have outdated documentation.
Anecdote: attending some of the tech talks that companies give at Tech, there is always a gradient of people, from the people that are there for free food to the people that are there to ask questions and get something out of it. These tech talks are thinly veiled recruiting events, and the latter set of people are always approached afterwards for interviews or networking purposes.
I'm glad Tech has this policy because there are lots of bright people here that did the same thing I did in high school and they do well here for similar reasons.
When application season rolled around, I had to compete with candidates who had a much shallow understanding of their area of study, but had a much stronger overall GPA, loads of random APs, etc. While I did mention my side projects and depth in my area of interest, I didn't think to submit code or the actual projects; I usually just mentioned it in the questions or essays (which I'm not certain anyone even reads). This lead to quite a few rejections.
I'm at Georgia Tech now and doing well, because all my classes, more or less, are related to what I'm interested in. While I'm very happy here, I'm curious if I would be as happy if I wasn't accepted to Tech, and were instead studying in a place without such abundance of opportunity. I'm sure there are others in similar situations.
With Chrome I can see the marble but it doesn't move, with Firefox 4 nightly I can't even see the marble.
The best tips page [2] has a good set to get started.
[1]: http://vim.wikia.com/wiki/Vim_Tips_Wiki [2]: http://vim.wikia.com/wiki/Best_Vim_Tips
It's very natural to type "vi <filename>", so it certainly helped.
A cooler way (albeit significantly harder, at least until it's working) way to do this would be to consider it an AI classification problem... maybe with enough training (as you go, since you'll be organizing anyways), it can start to suggest categories, so you can just hit accept as you fly through your pictures!