zdway10

Download and pin books at https://read.amazon.com, and use epubor KCR converter to convert them into epubs.
Download audio books at https://audible.com, with aax format.
Obtain your activation bytes with the instruction of this post.
Install ffmpeg with brew.
Install audible-converter with npm. (File name will be extended automatically)

audible-converter "*.aax" -a <your-activation-bytes>

Install atomicparsley with brew. (to add artwork to converted m4a files) Bash script to add artworks to m4a files:

How to run Jupyterlab as a desktop app on Mac OSX

Tiered of opening terminal to launch Jupyterlab, and having to leave it opened all the time? Try to run Jupyterlab as a desktop app:

One of a benefits is avoiding the annoying accident: "closed Jupyterlab when quitting the browser".

1. Install Anaconda for mac

Run in Terminal

# 替换brew.git:
cd "$(brew --repo)"
git remote set-url origin https://mirrors.aliyun.com/homebrew/brew.git

# 替换homebrew-core.git:
cd "$(brew --repo)/Library/Taps/homebrew/homebrew-core"
git remote set-url origin https://mirrors.aliyun.com/homebrew/homebrew-core.git

# 替换homebrew-bottles:

	#!/usr/bin/env python
	# encoding: utf-8
	"""
	letters-to-100.py
	"""

	import string

	letter_values = dict((l, i) for i, l in enumerate(string.lowercase, start=1))
	english_dict = open('/usr/share/dict/words', 'rU')

	search regex:

	~(?:^\|[^~])(~~(\\w+(\\s\\w+))~~)

	# replace with (attention: there's a white space at the end)
	$1

	.vscode-body .markdown-body {
	font-family: "PingFang SC"
	}
	.vscode-body strong {color:#6392BF;}
	.vscode-body em {color: #A9312A; font-style: normal !important;}
	.vscode-body table {font-size: 95% !important;}


	.vscode-body .CodeMirror, .vscode-body pre {font-size: 90%;}
	.vscode-body pre {

	# install anaconda
	jupyter-lab --generate-config
	edit ~/.jupyter/jupyter_notebook_config.py, add lines:

	c.NotebookApp.token = '' #you can set password here.

	#https://github.com/jiahaog/nativefier
	npm install nativefier -g
	nativefier "http://localhost:8888"

	=begin
	Find pi by the Monte-Carlo method.

	area of a circle = pi r^2
	area of a square = (2r)^2 = 4 r^2

	Perform random uniform sampling between -1 and 1.
	The proportion of points in the unit circle is:

	p = (pi r^2) / (4r^2)

	"""

	This code computes pi. It's not the first python
	pi computation tool that I've written. This program
	is a good test of the mpi4py library, which is
	essentially a python wrapper to the C MPI library.

	To execute this code:

	mpiexec -np NUMBER_OF_PROCESSES -f NODES_FILE python mpipypi.py

	''' listing 6: pi_mp.py

	Multiprocessing based code to estimate the value of PI
	using monte carlo sampling
	Ref: http://math.fullerton.edu/mathews/n2003/montecarlopimod.html
	Uses workers:
	http://docs.python.org/library/multiprocessing.html#module-multiprocessing.pool
	'''

	import random