Study 2018

2018년에는 내가 갖고 있는 기술들을 더 깊이있게 사용해보는 것이 목표다.

Language

• TypeScript / JavaScript - Frontend / Backend
• Sass - css preprocessor
• Python - Backend / DataAnalysis

FrontEnd

• Angular
• ECharts
• AgGrid
• BEM

Backend

• Meteor - WebFramework
• MongoDB - NoSQL
• ElasticSearch - NoSQL, SearchEngine
• Redis - NoSQL, In memory DB
• Hadoop
• Kafka - MessageQueue

API

• GraphQL
  • Apollo
  • Graphene

DevOps

• Kubernetes - Docker Orchestration
  • helm
• Google Cloud Platform
  • Serverless
• Ansible
• Vagrant
• Linux

Mobile / Desktop

• NativeScript
• ionic
• electron

Data Analysis

• Spark / Zeppelin
• Pandas / Numpy

DeepLearning

• Tensorflow
• NLP / RNN / CNN

ETC

• RxJS
• DesignPatterns
• nodejs
• Firebase
• JWT
• Jenkins - CI, Batch, Deploy
• Sentry - error
• jupyter
• nginx - Reverse Proxy
• netdata
• RxPY

Study History

• study 2017
• study 2016
• study 2015