Wason wangshub

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Directly from CLI

alias x='exit'
funcsave x

or create a file in

~/.config/fish/functions

with name

Run Jupyterlab on docker

Build starting from a Jupyter 2.x image.

Build

docker build -t jupyterlab .

Project Name

TODO: Write a project description

Installation

TODO: Describe the installation process

Usage

High-Performance Matrix Multiplication

This is a short post that explains how to write a high-performance matrix multiplication program on modern processors. In this tutorial I will use a single core of the Skylake-client CPU with AVX2, but the principles in this post also apply to other processors with different instruction sets (such as AVX512).

Intro

Matrix multiplication is a mathematical operation that defines the product of

	#
	# Acts as a nginx HTTPS proxy server
	# enabling CORS only to domains matched by regex
	# /https?://.*\.mckinsey\.com(:[0-9]+)?)/
	#
	# Based on:
	# * http://blog.themillhousegroup.com/2013/05/nginx-as-cors-enabled-https-proxy.html
	# * http://enable-cors.org/server_nginx.html
	#
	server {

	git init # 初始化本地git仓库（创建新仓库）
	git config --global user.name "xxx" # 配置用户名
	git config --global user.email "[email protected]" # 配置邮件
	git config --global color.ui true # git status等命令自动着色
	git config --global color.status auto
	git config --global color.diff auto
	git config --global color.branch auto
	git config --global color.interactive auto
	git config --global --unset http.proxy # remove proxy configuration on git
	git clone git+ssh://[email protected]/VT.git # clone远程仓库

	import socket

	client = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) # UDP
	client.setsockopt(socket.SOL_SOCKET, socket.SO_BROADCAST, 1)
	client.bind(("", 37020))
	while True:
	data, addr = sock.recvfrom(1024)
	print("received message: %s"%data)

	""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
	import numpy as np
	import cPickle as pickle
	import gym

	# hyperparameters
	H = 200 # number of hidden layer neurons
	batch_size = 10 # every how many episodes to do a param update?
	learning_rate = 1e-4
	gamma = 0.99 # discount factor for reward

	/*
	* npm install d3 node-jsdom
	*/

	var d3 = require('d3');
	var jsdom = require('node-jsdom');
	var http = require('http');

	function svgDOM(width, height) {
	// Setup DOM