knowledgesale

Incidentally, there is plenty of ls alternatives like lsp: https://github.com/dborzov/lsp

Another alternative is lsp: https://github.com/dborzov/lsp

Unlike exa it fully supports Windows and does not have any external dependancies (as it is written in Go, everything is included already).

Start by reading the open issues, choose one you want to tackle and try fixing it. Code structure can be confusing and hard to understand, consider contacting contributors and asking them questions you have. Rinse, repeat.

Another good idea is to browse through the closed PRs, including the code's diff tab. Communication there has evidence on how friendly and helpful the maintainers are, what are some easy contributions you can make and so on.

Why would you need your own DNS?

the company's website: http://et3.com/

Here are class projects for Machine Learning at Stanford: http://cs229.stanford.edu/projects2012.html

Should be a good start.

You have not even glanced at the referred article, have you? It is not conceptually harder, pretty much the same thing.

I played with some similar tasks for my native Russian. You can just add up a layer of hash tables/dictionaries to link to the original word. There are inflections in English too (and it is even harder for spelling purposes as the difference is often by one character) so it is conceptually similar.

A basic spellchecker is extremely simple to implement:

http://norvig.com/spell-correct.html

An instance with a similar code could be run, say, at Heroku (it would even be for free for the low traffic) with, say, a Flask wrapper:

http://flask-restful.readthedocs.org/en/latest/api.html

If the output format is reproduced, all it would take is changing the reference url.

hey, thanks for the slides and the talk, they are stunning.

What tools did you use to create the presentation slides? What fonts are these? How did you decide upon this color scheme?

This is very helpful and what I was looking for. Thank you.

Whoah, sounds interesting! What could it be for, any applications in mind?

SymPy (sympy.org) is a well-developed Python package that works with symbolic/analytical mathematics on a level comparable to Mathematica's.

Octave is more of an open source Matlab equivalent. That is, mostly linear algebra.

You have no clue what you are talking about.

Human Genome project is an example of complete DNA sequencing while 23andMe only tests for specific variations at specific loci. 23andMe and similar companies use commercially available solutions like DNA microarrays [1] with probes preprogrammed [2] for specific target variations and they cannot "read" arbitrary DNAs.

[1]http://en.wikipedia.org/wiki/DNA_microarray

[2] http://en.wikipedia.org/wiki/Hybridization_probe

That is remarkable, yet the thread somehow more and more resembles this nice Monty Python's sketch: http://youtu.be/Xe1a1wHxTyo

Why are majority of undergraduate students in Asia myopic? http://en.wikipedia.org/wiki/Myopia#Epidemiology

The p-value [1] criterion is often used to test a proposed hypothesis in medical and social science research papers. When you stumble upon something along the lines of "studies that shown that eating broccoli makes people happy" in your everyday life, it comes down to the p-value calculation being small enough <0.05 for the before and after gathered datasets.

The p-value method is practically a standard for scientific reporting in some fields. It also has some drastic shortcomings, including, e,g., dramatic instability for tests with only little data [2].

Naturally, people realize that and try to use additional tools and criteria when available. However, scientists are pretty brutally incentivized to publish positive results and, as a result, more often than it should be, too much weight is put on the single p-value criterion.

With issues like this in mind, in my opinion, it makes sense to be somewhat skeptical when seeing reports in the news that "A effects B" and definitely not to rush with the conclusions. Trivial, I know.

The [3] video pretty much sums it up and by all means is worth a watch.

-------------------

[1] http://en.wikipedia.org/wiki/P-value

[2] http://en.wikipedia.org/wiki/P-value#Problems

[3] http://www.youtube.com/watch?feature=player_embedded&v=e...

My experience shows me that there are no magic snake instant solutions. The only way to improve productivity is to gradually change your everyday routine for the better. One can do it by trying different things and sticking to the ones that work for you.

One thing that is certain is that guilt and self-loathing are as unproductive as it gets. This approach won't get you far because the brain doesn't work that way. I am sure we all have read plenty articles on this issue [1].

For example, try something along the lines of Magic Work Cycle [2] or Pomodoro technique [3]. Caffeine and other nootropics can also be helpful. Jogging is the best nootropic I know.

[1] http://youarenotsosmart.com/2010/10/27/procrastination/

[2] http://www.magicworkcycle.com/

[3] http://en.wikipedia.org/wiki/Pomodoro_Technique

I hope some of it was useful.

I would love to agree with you as your arguments seem reasonable and it seems you know the subject well.

The only problem is that I have been hearing the very same claims for almost 20 years by now.

The best introduction to Calculus is classic "Calculus Made Easy" by Silvanus P. Thompson. It is in public domain, is a de-facto standard and is praised by many working scientists (Antony Zee, for example).

The book itself http://djm.cc/library/Calculus_Made_Easy_Thompson.pdf

Wikipedia: http://en.wikipedia.org/wiki/Calculus_Made_Easy

It gives you a working knowledge to get going with almost any practical problem you may encounter that needs to be approached with mahtematical analysis.

I would say that Spivak books are more about learning the culture of working mathematicians, and while with its merits one must be careful with commitment of investing her personal time to it.

Also, here is a great page to learn about good (and usually public) books for different branches of mathematics and physics by a Nobel-winning theoretical physicist G. t'Hooft http://www.staff.science.uu.nl/~hooft101/theorist.html

May I recommend here a specific album that goes along your lines in terms of repetitive nature and intense rhythm pattern, of high quality and definetely works caffeine-like for me?

It is Toi Doi, Creative Commons licensed and is available for download at http://www.ektoplazm.com/2011/toi-doi-mother-pitch

Not directly relevant, but on the subject of Google in foreign languages.

Every time I visit a foreign country and use a local computer there, the default search language is in this local language (in spite of me being logged in into my non-local google account). One can click to search in English, but the next search is shown in this language again. And "google.com" redirects to "google.local country". If you stay abroad long enough, it is a great way to learn some Pavlov reflexes in obsessive clicking.

Definitely a first world problem, but if someone could let folks like me know how to address that issue, that would wonderful.

Let us make a quick comparative analysis of the post-soviet countries. Most of the characteristics of failed state you listed can be said about Ukraine, Belarus, Caucasian or Central Asian countries as well.

This natural experiment shows us that we cannot simplify what is happening in Russia by attributing it to a single person's fault. It must be a systematic phenomenon of complex nature.