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- Why Hasn't Ruby Won? - Sarah Mei @sarahmei - Ministry of Velocity
- - Introduction
- - [work plug]
- - Co-founder of RailsBridge
- - Whipping boy of hackernews (*hackernews you cray*)
- - Ruby often pokes out too
- - Thought process of switching languages (learning from that)
- - often come into the new language w/ baggage from old
- - you speak Ruby with a Java accent
- - Programming choices are more Social than Technical
- - Code location, object model, etc. > Gems and Libraries > Frameworks > Languages
- - Evaluation of Gems
- - httparty and faraday ... most people look at the interface when deciding.. but it may not be enough information
- - enumeration
- - read README
- - look at date of last commit
- - look at bug tracker freshness and quantity
- - comments on pull requests
- - blog posts
- - relative popularity (rubytoolbox)
- - date of least release
- <too many to copy, sorry... see the slides>
- - the enumeration changes based on community and individual needs
- - broadly
- - interface (README, use gem, etc)
- - activity (commits, issues, PRs, releases, docs
- - popularity (SO, HN, Google)
- - familiarity (look at code)
- - conversation w/ 4 year old
- - pattern matching on "Why?"
- - artificial neural networks
- - learning parameters, developing a sense of familiarity
- - the idea of 10k hours (talent versus skill)
- - The myth of the 10x programmer
- - if you look at the 10k hours skill as a learning curve, there are some people who go up it faster... others stall
- - like most myths it's partly true... research shows that talent does matter
- - but... there is no research which shows that skill can not make up for no talent
- - vast oversimplifications of a process which deserves deeper understanding
- - not the complete picture
- - comparison w/ gender disparity RE differences in cognitive ability
- - Pair programming
- - interesting experience in other people's decision making process
- - masters poke around and learn actively -- curious
- - novel information in learning
- - people who's imaging included novel information averaged much greater recall than those who were presented with accustomed information
- - mixing new information into your work increases your learning rate
- - Back to gem selection / back to language decision
- - categories and applications to languages (back to ruby decision)
- - interface (gc, threading models, syntax) -- where most people focus on
- - activity (community information, reactions around the language -- personalities involved with the project... how does the leadership respond to criticism)
- - popularity
- - familiarity (at the language level -- how familiar are your assumptions in the new paradigm? e.g. JavaScript has prototypes but Ruby has classes)
- - at the scale of languages, familiarity is about everyone who is working on the project -- not the individual
- - the capabilities of your team are the strongest determiner of what language you choose
- - Ruby won't win -- we can't save them
- - not because it's slow or anything
- - language choices are about familiarity.. not everyone will be a match
- - there is losing however...
- - like smalltalk ... a niche language
- - but the learning curve can be accelerated
- - the best thing to do is to go learn something else and then come back
- - Speaker will save you an otter pop / Thank you
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