7. What makes us different
1. Swift Office Hours is a monthly Meetup where
developers of all backgrounds (not just iOS) can get
1-on-1 help with their Swift projects.
2. We will host a variety of special speakers covering
topics including backend Swift, frontend Swift, and
everything in-between.
// What Makes Us Different
9. Who’s it for?
This meetup is for both advanced Swift users as well as
developers on other platforms who are interested in
learning Swift.
// Who’s it for?
Mark D, Ben, Christian, Nareg, Andrew, Lu? This will be where we will have help given.
Swift is beyond a language for devleoping and mac apps. Apple is putting serious effort to get Swift beyond their platform
Based on the number of stars in a project's first week, here are the top open source releases on GitHub since 2015. https://github.com/blog/2268-top-open-source-launches-on-github Released: December 3, 2015
Stars in the first week: 23,097
The RedMonk Programming Language Rankings[14] are derived from a correlation of programming traction on GitHub (usage) and Stack Overflow (discussion).
15 most popular languages used on GitHub by opened Pull Request and percentage change from previous period. https://octoverse.github.com/#open-source https://onepagelove.com/github-octoverse-2016
http://www.tiobe.com/tiobe-index/
https://en.wikipedia.org/wiki/TIOBE_index Description of TIOBE:
The index is calculated from the number of search engine results for queries containing the name of the language.[4] The index covers searches in Google, Google Blogs, MSN, Yahoo!, Baidu, Wikipedia and YouTube. The index is updated once a month. The current information is free but the long term statistics over many years of observation is for sale. The index authors think that it may be valuable when accepting various strategic decisions. TIOBE focuses on Turing complete languages, so it does not provide information about the popularity of, for instance, SQL or HTML.
According to the site, TIOBE index is "not about the best programming language or the language in which most lines of code have been written".[5] However the site does claim that the number of web pages may reflect the number of skilled engineers, courses and jobs worldwide.
http://pypl.github.io/PYPL.html
The PYPL PopularitY of Programming Language Index is created by analyzing how often language tutorials are searched on Google.
