timbeiko

MacBooks-MacBook-Pro:web-blackjack tim$ heroku logs --app guarded-island-9684.
Your version of git is 1.9.3. Which has serious security vulnerabilities.
More information here: https://blog.heroku.com/archives/2014/12/23/update_your_git_clients_on_windows_and_os_x
 !    App not found.
MacBooks-MacBook-Pro:web-blackjack tim$ 

timbeiko

[5] pry(#<PostsController>)> @post.update(post_params)
   (0.1ms)  begin transaction
  Category Load (0.4ms)  SELECT "categories".* FROM "categories" WHERE "categories"."id" IN (1, 2, 3)
  Category Load (0.1ms)  SELECT "categories".* FROM "categories" INNER JOIN "post_categories" ON "categories"."id" = "post_categories"."category_id" WHERE "post_categories"."post_id" = ?  [["post_id", 1]]
  SQL (0.4ms)  INSERT INTO "post_categories" ("category_id", "post_id") VALUES (?, ?)  [["category_id", 3], ["post_id", 1]]
   (31.3ms)  rollback transaction
NoMethodError: undefined method `name' for nil:NilClass
from /Users/tim/.rvm/gems/ruby-2.2.0/gems/activerecord-4.0.0/lib/active_record/associations/has_many_association.rb:80:in `cached_counter_attribute_name'
[6] pry(#<PostsController>)>  

timbeiko

# amazon_api.rb
# ENV variables are configured with figaro locally and directly on Amazon Elastic Beanstalk in production

Amazon::Ecs.configure do |options|
  options[:AWS_access_key_id] = ENV["AWS_ACCESS_KEY_ID"]
  options[:AWS_secret_key] = ENV["AWS_SECRET_KEY"]
  options[:associate_tag] = ENV["associate_tag"]
  options[:version] = "2013-08-01"
end

timbeiko

# User.rb

class User <ActiveRecord::Base
  before_save :generate_slug
  
  # [...]
  
    def self.from_omniauth(auth)
    where(provider: auth.provider, uid: auth.uid).first_or_create do |user|
      user.provider = auth.provider

timbeiko

Intern Talk

1. Searching for an internship
    1. www.intern.supply
    2. Sent your resume & never heard back?
        1. Focus on what you want to do (ex: Data, PM, Front-end, Back-end)
            1. Try to apply to second tier companies that match what you want to do (ex: me at 1010data)
- You will gain “experience”! 
        2. Talk with people who are working at your dream company
            1. Screenshot of Google Tweet: https://twitter.com/AdamSinger/status/765591442500620288
            2. Cold emails on linkedin: http://imgur.com/a/DsbwP

timbeiko

Exception in thread "main" java.lang.NoClassDefFoundError: org/slf4j/LoggerFactory
        at edu.stanford.nlp.parser.common.ParserGrammar.<clinit>(ParserGrammar.java:46)
Caused by: java.lang.ClassNotFoundException: org.slf4j.LoggerFactory
        at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
        ... 1 more

Traceback (most recent call last):
  File "test.py", line 11, in <module>

timbeiko

Traceback (most recent call last):
  File "test.py", line 11, in <module>
    sentences = parser.raw_parse_sents(("Hello, My name is Melroy.", "What is your name?"))
  File "/Library/Python/2.7/site-packages/nltk/parse/stanford.py", line 153, in raw_parse_sents
    return self._parse_trees_output(self._execute(cmd, '\n'.join(sentences), verbose))
  File "/Library/Python/2.7/site-packages/nltk/parse/stanford.py", line 219, in _execute
    stdout=PIPE, stderr=PIPE)
  File "/Library/Python/2.7/site-packages/nltk/internals.py", line 136, in java
    raise OSError('Java command failed : ' + str(cmd))
OSError: Java command failed : ['/Library/Java/JavaVirtualMachines/jdk1.8.0_60.jdk/Contents/Home/bin/java', 

timbeiko

Input: Bob brought the pizza to Alice because she was cold .
Parse:
brought VBD ROOT
 +-- Bob NNP nsubj
 +-- pizza NN dobj
 |   +-- the DT det
 +-- to IN prep
 |   +-- Alice NNP pobj
 +-- cold JJ advcl
 |   +-- because IN mark

timbeiko

Input: Bob brought the pizza to Alice because she was cold .
Parse:
brought VBD ROOT
 +-- Bob NNP nsubj
 +-- pizza NN dobj
 |   +-- the DT det
 +-- to IN prep
 |   +-- Alice NNP pobj
 +-- cold JJ advcl
 |   +-- because IN mark

timbeiko

INFO:tensorflow:Total processed documents: 7
INFO:tensorflow:num correct tokens: 14
INFO:tensorflow:total tokens: 47
INFO:tensorflow:Seconds elapsed in evaluation: 1.16, eval metric: 29.79%