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# 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:

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

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

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

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search regex:

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

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

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.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 {

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How to run Jupyterlab as a desktop app on Mac OSX

In Sep, 2021, Jupyterlab Desktop App (electron) was released by Mehmet Bektas (github repo).

brew install --cask jupyterlab

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# 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"

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#!/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')

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=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)

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"""

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

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''' 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