985 karma · joined August 5, 2011
Full-stack web developer, specializing in engineering a solid User Experience. Expert-level JavaScript, PHP, and Ruby. Confident with Go, Perl, and Python too.
Specialties:
- User Experience Engineering
- Technical writing and documentation
- Elasticsearch Tuning
- RESTful API design and implementation
- React SPAs
- Web Scraping
- Speeding up large JS applications
- Cleaning up "stinky" internal applications (i.e. a home-grown time tracker)
Special Discounts:
Are you looking for someone to help with either an Alexa Skill or VR application? Let's talk!Open to contract or full-time. Web presence: * http://www.leesome.com/ * https://github.com/geetotes * https://www.linkedin.com/in/leegillentine/
You can contact me at: lgillentine (at) gmail.com Thanks!
* Good readmes. Every project is required to have a readme.md that's not boilerplate. Since every team is different, the quality of the readmes range from well-organized to stream of consciousness. But the point of the readme is that it's the very first document when on-boarding and contains instructions to set the project up, as well as git blame information so the new person can find the right person to bug for more information.
* Pair programming. There's no silver bullet for onboarding and you just need to accept the friction. Having new devs pair with experienced devs as they go through their daily workflow is the most useful way, IMHO, to get comfortable with the codebase and transmit cultural norms and values.
Given that research, wouldn't that make Facebook be the best platform for an anti-depression chat-bot? That's where the users will be.
Full-stack open source developer, specializing in engineering solid User Experience. Expert-level JavaScript, PHP, and Ruby. Confident with Go, Perl, and Python too.
Specialties:
- User Experience Engineering
- Technical writing and documentation
- Elasticsearch Tuning
- RESTful API design and implementation
- React SPAs
- Web Scraping
- Speeding up large JS applications
- Cleaning up "stinky" internal applications (i.e. a home-grown time tracker)
Open to contract or full-time.
Web presence:
* http://www.leesome.com/
* https://github.com/geetotes
* https://www.linkedin.com/in/leegillentine/You can contact me at: lgillentine (at) gmail.com Thanks!
(Mystery-meat meaning when I click on the nav arrows, I don't know where I'll go)
But the point of doing the surveys is not to gather reliable data -- it's to generate clickbait headlines that will go viral. Even if the sample size is 10 and p is hacked to bits, people are going to share your "Android Users 3 Times More Likely to Drop Their Phone in Toilet" blog post.
If that's the case, a good resource would be to look at the developer guides for popular open source databases, such as the one for PostgreSQL[0], which will give a guide to how those databases are put together.
I wish someone would invent some type of eye tracking that would intelligently assign the context to open windows on your screen(s).
That pink line represents the number of seed deals completed, not the amount of money in the system.
Unfortunately, I cannot download the original dataset that Mattermark is using, but using a dataset from Pricewaterhouse Coopers[1], and data from FRED[2], I have run some statistical analysis using R.
My results are here: http://imgur.com/a/eFzs1
In short, the only statistical correlation I can find between QE and Seed capital is a negative one, which would contradict your original hypothesis.
[0]https://medium.com/mattermark-daily/why-is-the-number-of-see...
[1]http://www.pwcmoneytree.com/HistoricTrends/CustomQueryHistor...
If you'll check the source article[0] that the Techcrunch graph was pulled from, you'll see that there is a negative correlation between the Treasury bond yield and the amount of money flowing into seed deals.
According to your Textbook Econ 101, there should be a positive correlation between these two. But the data shows there is not.
[0]https://medium.com/mattermark-daily/why-is-the-number-of-see...