Fanchen Bao FanchenBao

Regarding Math Notation

You can copy and paste the LaTeX notation in a LaTeX editor to view the math notation. A good online LaTeX editor tool is HostMath.

Let $w_i$ be the weight of ith random variable $x_i$, then weighted average is expressed as

$$ \mu_x = \frac{\sum_{i=1}^n{w_ix_i}}{\sum_{i=1}^nw_i}

	set -g mouse on

	# List of plugins
	set -g @plugin 'tmux-plugins/tpm'
	set -g @plugin 'tmux-plugins/tmux-sensible'
	set -g @plugin 'christoomey/vim-tmux-navigator'
	set -g @plugin 'tmux-plugins/tmux-yank'
	set -g @plugin 'dracula/tmux'

	set -g @dracula-show-powerline true

	# ggrep is the GNU grep. On macOS, it is installed via `brew install grep`

	# Using perl regex for lookahead and lookbehind
	# This example greps the EXACT match between quotation marks
	aws lambda publish-version --function-name foo --profile bar \| ggrep -Po '(?<=")\d+(?=")'

	# This example counts the number of occurrences of "prod" that is wedged bewteen string literals
	# '"Name": "' and '"'
	aws lambda list-aliases --function-name foo --profile bar \| ggrep -Pc '(?<="Name":\s")prod(?=")'

	import timeit


	setup = """
	import pandas as pd
	from dateutil import parser
	from datetime import datetime

	def test_datetime(timestamp):
	try:

	from argparse import ArgumentParser, RawDescriptionHelpFormatter


	ef get_argument_parser() -> ArgumentParser:
	"""Acquire command line arguments

	:return: The argument parser
	:rtype: ArgumentParser
	"""
	parser = ArgumentParser(

	import unittest
	from unittest.mock import MagicMock, patch


	class TestFoo(unittest.TestCase):
	"""blablabla

	To run all the tests in TestFoo, run command

	python3 -m unittest tests.test_foo.TestFoo

	def chunk_read(f_obj: TextIOBase, sentinel: str, max_sentinel: int):
	"""Read a file object in chunks

	Read the file object line by line. Each time a sentinel is detected, we increment
	a count. Once the count reaches max_sentinel, we have gatherered the required
	chunk and yield it.

	The function is inspired by this SO answer:
	https://stackoverflow.com/a/42964612/9723036

	" Set absolute line number for the current line and the rest is relative number
	set number
	set relativenumber

	" Enable monokai theme
	syntax enable
	set background=dark
	colorscheme monokai

	" I do not remember what these do

	#! /usr/bin/python

	import multiprocessing as mp
	import time

	'''
	A simple benchmark testing while learning about multiprocessing in python (2.7.10)
	It is apparent from this test, conducted in MacBook Air OS 10.13.6, that using Pool
	class of multiprocessing yields the best runtime performance. My guess is that in
	the parallel() function, each new process is spawn up manually via a for loop, whereas