Name: Kai Jing
Type: User
Company: Khan Academy
Bio: I lead devops team in Khan Academy. we develop build and deploy system, webapp's CI/CD, mobile's CI/CD, git workflow and code review system, dev env and more.
Location: Saratoga CA
Blog: https://www.linkedin.com/in/kaijing/
Kai Jing's Projects
The Grocery Delivery utility for managing cookbook uploads to distributed Chef backends.
Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
不会运维的 iOS 开发不是好设计师。这个 Ansible Playbook 能快速配置 iOS 开发需要的服务,安装如 Gogs、GitLab、Jenkins、Ghost、Ajenti 等常用服务。
irccat is like `cat`, but here, the STDOUT is an IRC channel.
Continuous integration server built on top of Jenkins and Hubot
Jenkins plugin for RunDeck integration : trigger, notifier and option provider.
Kubernetes Resources
Bootstrap Kubernetes the hard way on Google Cloud Platform. No scripts.
My own leetcode solutions by python
:pencil: Python / C++ 11 Solutions of LeetCode Questions
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
LeetCode Problems' Solutions
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
贵校课程资料民间整理
PRC file format library
Large scale server deploys using BitTorrent and the BitTornado library
This app utilises SwiftUI to create screens and hacker news api to fetch top stories and open them in seperate web view.
Python-based tools for document analysis and OCR
Simple Ruby wrapper for the GitHub v3 API
📙 Amazon Web Services — a practical guide
Mirror of Apache PDFBox
A simple PHP GitHub API client, Object Oriented, tested and documented. For PHP 5.1 to 5.3.
A small Sinatra app that will get open issues from Github into Pivotal Tracker
Curated list of project-based tutorials
A Python implementation of the Ethereum Virtual Machine
Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Workshop: Intro to Python for Data Analysis
Python best practices guidebook, written for Humans.