gxfxyz

{
  "title": "Switch input source  |  输入法切换",
  "rules": [
    {
      "description": "Tap Command_L (⌘) → Switch input source to English  |  短按左 Command (⌘) → 切换到英文输入法",
      "manipulators": [
        {
          "conditions": [
            {
              "input_sources": [

voldikss

% 1
% UTF-8 encoding
% Compile with latex+dvipdfmx, pdflatex, xelatex or lualatex
% XeLaTeX is recommanded
\documentclass[UTF8]{ctexart}
\begin{document}
文章内容
Hello world
\end{document}

johnloy

Electron apps

• Marp: Markdown presentation ecosystem.

• muryoimpl/slippr: markdown presentation app by Electron

• joe-re/cafe-pitch Markdown-driven presentation tool built on Electron.

Slide deck frameworks supporting Markdown source

mangecoeur

Easy parallel python with concurrent.futures

As of version 3.3, python includes the very promising concurrent.futures module, with elegant context managers for running tasks concurrently. Thanks to the simple and consistent interface you can use both threads and processes with minimal effort.

For most CPU bound tasks - anything that is heavy number crunching - you want your program to use all the CPUs in your PC. The simplest way to get a CPU bound task to run in parallel is to use the ProcessPoolExecutor, which will create enough sub-processes to keep all your CPUs busy.

We use the context manager thusly:

with concurrent.futures.ProcessPoolExecutor() as executor: