fatelei Goto Github PK
Name: wangxiaolei
Type: User
Bio: https://zhuanlan.zhihu.com/moods
Twitter: fatelei
Location: Beijing, Chengdu
Blog: http://fatelei.github.io
wangxiaolei's Projects
opentelemetry-go
OpenTelemetry Go API and SDK
opentelemetry-sqlcommenter
SQLCommenter components for various languages
ops
ops scripts.
oslo.db
OpenStack Common DB Code
paip-lisp
Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
pandas-demo
Pandas demo.
pdm
A modern Python package and dependency manager supporting the latest PEP standards
percona-presentation
Repository containing resources to play around with pt-online-schema-change, MySQL and Django.
periph
periph - Peripherals I/O in Go
physical-web
The Physical Web: walk up and use anything
picologging
An optimized logging library for Python
pifuhd
High-Resolution 3D Human Digitization from A Single Image.
pig-udfs
Some useful pig udfs (maybe).
pinball
Pinball is a scalable workflow manager
ploomber
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
podman
Podman: A tool for managing OCI containers and pods.
pomelo
a fast, scalable,distributed game server framework for node.js
postman-to-markdown
Generate documentation in markdown from postman documentation.
preact
⚛️ Fast 3kb React alternative with the same ES6 API. Components & Virtual DOM.
prometheus
The Prometheus monitoring system and time series database.
prometheus-lark-webhook
Push alert to lark using prometheus webhook
prometheus-statsd-writer
Send metric from prometheus to statsd.
promise
another implement promise, inspired by http://promises-aplus.github.io/promises-spec/
pug
Pug – robust, elegant, feature rich template engine for Node.js
pulumi
Pulumi - Universal Infrastructure as Code. Your Cloud, Your Language, Your Way 🚀
puppeteer
Headless Chrome Node.js API
puppeteer-example
Chrome headless some demo project
pushgateway
Push acceptor for ephemeral and batch jobs.
pydantic
Data parsing and validation using Python type hints
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
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