Note: I configured this thinkfan setup for my old Thinkpad w520 on Ubuntu 17.10.
Install lm-sensors
and thinkfan
.
sudo apt-get install lm-sensors thinkfan
// Amazon購入履歴のCSVエクスポート | |
// | |
// 使い方: | |
// 1. 全部コピーする (右上の Raw をクリックした先でやるのが楽) | |
// 2. Amazon の注文履歴ページ ( https://www.amazon.co.jp/gp/css/order-history/ ) を開く | |
// 3. F12 または 右クリ→要素の検証 とかで出てくる開発者ツールのコンソール (JavaScript REPL) にペースト | |
// 4. エンターで実行 | |
// (Firefox はなんか allow pasting とタイプしろみたいなことを言われるので従う) | |
// 5. しばらく待つと、コンソールに合計金額が表示され、CSVが保存される | |
// |
# After Ubuntu 16.04, Systemd becomes the default. | |
# It is simpler than https://gist.github.com/Doowon/38910829898a6624ce4ed554f082c4dd | |
[Unit] | |
Description=Jupyter Notebook | |
[Service] | |
Type=simple | |
PIDFile=/run/jupyter.pid | |
ExecStart=/home/phil/Enthought/Canopy_64bit/User/bin/jupyter-notebook --config=/home/phil/.jupyter/jupyter_notebook_config.py |
$ uname -r
In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.
# REQUIRES PACKAGES Numpy AND Scipy INSTALLED | |
import numpy as np | |
import scipy.integrate | |
import scipy.interpolate | |
class ddeVar: | |
""" special function-like variables for the integration of DDEs """ | |
def __init__(self,g,tc=0): | |
""" g(t) = expression of Y(t) for t<tc """ |
var http = require("http"), | |
url = require("url"), | |
path = require("path"), | |
fs = require("fs") | |
port = process.argv[2] || 8888; | |
http.createServer(function(request, response) { | |
var uri = url.parse(request.url).pathname | |
, filename = path.join(process.cwd(), uri); |