Lars Trierloff - Serverless Adventures with AWS Lambda and ClojureServerlessConf
Presented at ServerlessConf NYC 2016.
Seven lessons learned, experiences made and problems solved while getting the most out of Clojure and AWS Lambda.
The document discusses using R and the twitteR package to connect to and interact with Twitter. It provides instructions for installing and configuring the twitteR and ROAuth packages to enable authentication and communication with the Twitter API. It also shows some basic examples of using twitteR to post tweets and direct messages.
Lars Trierloff - Serverless Adventures with AWS Lambda and ClojureServerlessConf
Presented at ServerlessConf NYC 2016.
Seven lessons learned, experiences made and problems solved while getting the most out of Clojure and AWS Lambda.
The document discusses using R and the twitteR package to connect to and interact with Twitter. It provides instructions for installing and configuring the twitteR and ROAuth packages to enable authentication and communication with the Twitter API. It also shows some basic examples of using twitteR to post tweets and direct messages.
On Similarities Between Japanese and Other LanguagesGraspingfish
Are the long-noted similarities between Japanese and other languages mere coincidences and created by chance? This presentation suggests a different view of these language resemblances based on global genetic history of homo sapiens and brain dynamics.
This document discusses the Japanese language phonetic system. [1] It outlines the 5 vowels - /i/, /e/, /a/, /o/, /u/ and notes differences from English vowels. [2] It examines major phonetic characteristics of Japanese including lack of certain consonants and unusual pronunciations of other consonants. [3] It analyzes difficulties Japanese speakers face pronouncing some English consonant pairs and provides examples.
Differences between Japanese and EnglishCashie Cheer
There are many differences between English and Japanese, including:
- Japanese uses 3 types of characters (Kanji, Hiragana, Katakana) while English only uses the Latin alphabet.
- Japanese has 2 tenses (past and non-past) while English has 3 basic tenses (present, past, future).
- Japanese is written from right to left and top to bottom while English is written left to right.
- Japanese word order follows subject-object-verb while English follows subject-verb-object.
- The biggest cultural difference is that Japanese emphasizes politeness in communication more than English.
This document discusses analyzing Twitter data from the user @a_bicky using R. It extracts over 3,200 tweets from the user's timeline using the twitteR package. The tweets are transformed into a data frame with variables like text, date, and source. The data is then summarized using the reshape2 and ggplot2 packages to calculate metrics like average text length by day of week, month, and source. Frequency tables and heat maps are generated to explore patterns in the Twitter data over time.
Language Comparison (Korean, Japanese and English)MIN KYUNG LEE
This document summarizes and compares features of Korean, Japanese, and English languages. It discusses phonological and morphological differences such as consonant and vowel phonemes. Korean and Japanese are topic-prominent languages that rely on word endings, while English is subject-prominent and relies on word order. The writing systems are also compared, with Korean having a unique alphabet created for phonetic representation. Implications for teaching a second language are that differences can pose pronunciation challenges, but understanding morphological features can help literacy instruction by relating words across languages.
Difference between English and NihongoLyka Cuecaco
This document summarizes some key differences between the Japanese and English languages. It discusses the three main writing styles in Japanese: kanji, hiragana, and katakana. Kanji are Chinese characters representing meaning, while hiragana and katakana are syllabic scripts. Grammatically, Japanese tends to follow subject-object-verb order and lacks auxiliary verbs. It also explores some differences in pronunciation and common Japanese words/phrases like "desu", "imasu", and "itadakimasu".
This document appears to be presentation notes that discuss setting up a Ruby on Rails development environment using AWS, Docker, and IDE tools like RubyMine. Specific topics covered include initializing a new Rails project, using Docker Compose to manage containers, debugging with Pry and examining the call stack, writing descriptive commit messages, and following best practices for pull requests. The presentation also mentions creating a minimum viable product and sharing progress on Twitter.
On Similarities Between Japanese and Other LanguagesGraspingfish
Are the long-noted similarities between Japanese and other languages mere coincidences and created by chance? This presentation suggests a different view of these language resemblances based on global genetic history of homo sapiens and brain dynamics.
This document discusses the Japanese language phonetic system. [1] It outlines the 5 vowels - /i/, /e/, /a/, /o/, /u/ and notes differences from English vowels. [2] It examines major phonetic characteristics of Japanese including lack of certain consonants and unusual pronunciations of other consonants. [3] It analyzes difficulties Japanese speakers face pronouncing some English consonant pairs and provides examples.
Differences between Japanese and EnglishCashie Cheer
There are many differences between English and Japanese, including:
- Japanese uses 3 types of characters (Kanji, Hiragana, Katakana) while English only uses the Latin alphabet.
- Japanese has 2 tenses (past and non-past) while English has 3 basic tenses (present, past, future).
- Japanese is written from right to left and top to bottom while English is written left to right.
- Japanese word order follows subject-object-verb while English follows subject-verb-object.
- The biggest cultural difference is that Japanese emphasizes politeness in communication more than English.
This document discusses analyzing Twitter data from the user @a_bicky using R. It extracts over 3,200 tweets from the user's timeline using the twitteR package. The tweets are transformed into a data frame with variables like text, date, and source. The data is then summarized using the reshape2 and ggplot2 packages to calculate metrics like average text length by day of week, month, and source. Frequency tables and heat maps are generated to explore patterns in the Twitter data over time.
Language Comparison (Korean, Japanese and English)MIN KYUNG LEE
This document summarizes and compares features of Korean, Japanese, and English languages. It discusses phonological and morphological differences such as consonant and vowel phonemes. Korean and Japanese are topic-prominent languages that rely on word endings, while English is subject-prominent and relies on word order. The writing systems are also compared, with Korean having a unique alphabet created for phonetic representation. Implications for teaching a second language are that differences can pose pronunciation challenges, but understanding morphological features can help literacy instruction by relating words across languages.
Difference between English and NihongoLyka Cuecaco
This document summarizes some key differences between the Japanese and English languages. It discusses the three main writing styles in Japanese: kanji, hiragana, and katakana. Kanji are Chinese characters representing meaning, while hiragana and katakana are syllabic scripts. Grammatically, Japanese tends to follow subject-object-verb order and lacks auxiliary verbs. It also explores some differences in pronunciation and common Japanese words/phrases like "desu", "imasu", and "itadakimasu".
This document appears to be presentation notes that discuss setting up a Ruby on Rails development environment using AWS, Docker, and IDE tools like RubyMine. Specific topics covered include initializing a new Rails project, using Docker Compose to manage containers, debugging with Pry and examining the call stack, writing descriptive commit messages, and following best practices for pull requests. The presentation also mentions creating a minimum viable product and sharing progress on Twitter.
This document discusses environments and scoping in R. It provides examples of how parent environments and parent frames work when calling functions. The key points are:
- The parent environment of a function is the environment in which the function is defined.
- The parent frame of a function is the environment from which the function was called.
- Variables in the parent environments and frames may be accessible depending on the context.
The document discusses the Getopt::Long module for parsing command line arguments in R. It provides an example of using Getopt::Long to parse arguments in an R script called getopt_long_sample.R, where the --save.path argument is parsed and assigned to the save.path variable. Getopt::Long allows defining argument types like strings, integers, and flags to parse command line options consistently in both Perl and R scripts.
This document summarizes information about a person named Takeshi Arabiki. It includes:
1. Their Twitter handle is @a_bicky and ID is id:a_bicky.
2. A link to their blog on Hatena is provided.
3. They have written books and slides about using R and SciPy.
4. Links are provided to their slideshare presentations about using Twitter and R.
This document discusses and compares several different probabilistic models for sequence labeling tasks, including Hidden Markov Models (HMMs), Maximum Entropy Markov Models (MEMMs), and Conditional Random Fields (CRFs).
It provides mathematical formulations of HMMs, describing how to calculate the most likely label sequence using the Viterbi algorithm. It then introduces MEMMs, which address some limitations of HMMs by incorporating arbitrary, overlapping features. CRFs are presented as an improvement over MEMMs that models the conditional probability of labels given observations, avoiding the label bias problem of MEMMs. The document concludes by describing how to train CRF models using generalized iterative scaling.
This document discusses the R debugger. It provides examples of using the browser(), debug(), and debugonce() functions to debug R code. The browser allows stepping through code line-by-line and examining variable values. debug() and debugonce() activate debugging for a function. Other debugging topics covered include traceback(), browserText(), and examining the coefficients of linear models.
The document discusses MapReduce and Hadoop. It provides an overview of MapReduce concepts including split, map, combine, shuffle, and reduce phases. It also describes how Hadoop Streaming allows other programming languages besides Java to be used for map and reduce functions. Finally, it mentions some MapReduce frameworks and languages like Pig, Hive, and Cascading that provide higher-level abstractions than MapReduce.