Alexej Gossmann agisga

## unfave.rb
#!/usr/bin/env ruby
require "rubygems"
require "twitter"
require "json"
require "faraday"

# things you must configure
TWITTER_USER = "your_username"

# get these from dev.twitter.com

## r-to-python-data-wrangling-basics.md

      
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                conormm
                / r-to-python-data-wrangling-basics.md
            
            
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              April 24, 2024 18:22
            
              
                R to Python: Data wrangling with dplyr and pandas
              
          
    R to python data wrangling snippets

The dplyr package in R makes data wrangling significantly easier.
The beauty of dplyr is that, by design, the options available are limited.
Specifically, a set of key verbs form the core of the package.
Using these verbs you can solve a wide range of data problems effectively in a shorter timeframe.
Whilse transitioning to Python I have greatly missed the ease with which I can think through and solve problems using dplyr in R.
The purpose of this document is to demonstrate how to execute the key dplyr verbs when manipulating data using Python (with the pandas package).
dplyr is organised around six key verbs:

  
## ml-ruby.md

      
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                gbuesing
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              February 28, 2024 15:13
            
              
                Resources for Machine Learning in Ruby
              
          
    UPDATE a fork of this gist has been used as a starting point for a community-maintained "awesome" list: machine-learning-with-ruby Please look here for the most up-to-date info!

Resources for Machine Learning in Ruby

Gems


liblinear-ruby: Ruby interface to LIBLINEAR using SWIG


## langoliers.rb
require "rubygems"
require "twitter"
require "json"

# things you must configure
TWITTER_USER = "your_username"
MAX_AGE_IN_DAYS = 1 # anything older than this is deleted

# get these from dev.twitter.com
CONSUMER_KEY = "your_consumer_key"
	#!/usr/bin/env ruby
	require "rubygems"
	require "twitter"
	require "json"
	require "faraday"

	# things you must configure
	TWITTER_USER = "your_username"

	# get these from dev.twitter.com