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require 'benchmark/ips'

def fast
 ''
end

def slow
 ""
end

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require 'benchmark/ips'

# Because the methods avoid creating a `MatchData` object or saving backref.
# So, when `MatchData` is not used, use `match?` instead of `match`.
def fast
  "aaacolorzzz".match?(/color/)
end

def slow
  "aaacolorzzz".match(/color/)

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(define (for-each proc items)
  (if (null? items)
    #f
    (begin
      (proc (car items))
      (for-each proc (cdr items)))
  )
)
(for-each (lambda (x) (newline) (display x)) (list 57 321 88))

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require 'benchmark/ips'

def ternary_equal
  (true == true) ? true : false
end

def ternary_not_equal
  (true != false) ? true : false
end

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diff --git a/Gemfile b/Gemfile
index 9d19ebf..2f56cf4 100644
--- a/Gemfile
+++ b/Gemfile
@@ -14,13 +14,6 @@ gem 'pg', '>= 0.18', '< 2.0'
 gem 'puma', '~> 3.7'
 # Use SCSS for stylesheets
 gem 'sass-rails', '~> 5.0'

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### 10 columns, 1,000,000 lines

Calculating -------------------------------------
            unquoted     1.397B memsize (    61.000M retained)
                        16.000M objects (     2.000  retained)
                        28.000  strings (     1.000  retained)
              quoted     1.857B memsize (    81.000M retained)
                        26.000M objects (     2.000  retained)
                        29.000  strings (     1.000  retained)

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# 5 columns, 10,000 rows

Warming up --------------------------------------
            unquoted     1.000  i/100ms
              quoted     1.000  i/100ms
   (libcsv) unquoted     1.000  i/100ms
     (libcsv) quoted     1.000  i/100ms
Calculating -------------------------------------

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Original article

• Apache Arrowの最新情報（2018年9月版） - ククログ(2018-09-05)

The latest information on Apache Arrow (September 5, 2018)

Do you know Apache Arrow? Most people probably do not hear or know only the name or only the concept. There will be few people who have actually experienced it. Apache Arrow is a project that will become an important component in the data processing in a few years. People who are interested in the data processing should be useful to know, so I will introduce the latest information as of September 2018.

I'm the only Japanese in PMC and the number of commits is the third most. Maybe I'm familiar with Apache Arrow in Japan. Since there is not much information on Apache Arrow in Japanese, I will introduce it in Japanese. Incidentally, there are various information in English. Useful information sources include the official blog of Apache Arrow, [

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Original article

• Apache Arrow 0.11.0リリース - ククログ(2018-10-10)

Apache Arrow 0.11.0 Released (October 10, 2018)

The original Japanese article was written by Kouhei Sutou, a member of Apache Arrow PMC. He was the release manager of Apache Arrow 0.11.0.

We released Apache Arrow 0.11.0 on October 8, 2018.

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```
$ rake
Run options:

# Running tests:

Finished tests in 1.893467s, 224.9841 tests/s, 4058.1642 assertions/s.
426 tests, 7684 assertions, 0 failures, 0 errors, 0 skips

ruby -v: ruby 2.5.3p105 (2018-10-18 revision 65156) [x86_64-darwin17]