technillogue

AngleList profile: https://angel.co/matthew-liberman

My goal is to get a full-stack or backend position from which I can transition into ML or data science, preferably somewhere relating to language, biotech, healthcare, QS, or education. I don't want to remote for my first job. I'd prefer a full Boston salary but absolutely don't mind an 30k+ internship. All of these are much less stringent for queerer workplaces. It was suggested I want a small startup building something cool with minimal bureaucracy being ideal for ADHD.

Some ideal jobs:

	[19:18] [sylv(+Zi)] [2:Freenode/##edef(+Sns)] [Act: 1,6,7]
	[##edef]
	[0] 0:irssi* 1:bitlbee- 3:bash 4:bash 5:bash 6:bash 7:bash 8:supybot "technillogue@spock: ~" 19:18 31-Jan-20
	[0] 0:irssi- 1:supybot 2:bitlbee 3:bash 4:bash 5:bash 6:bash 7:spock* "technillogue@spock: ~" 19:18 31-Jan-20

	k = 10^3 a thousand
	mil = 10^6, a thousand thousand
	bil = 10^9, a thousand thousand thousand, a thousand mil (giga)
	trillion = 10^12, a thousand thousand thousand thousand, a billion mil, a thousand bill (tera, great pyramid of giza is 6 tetagrams, a tetrasecond is 31.5k years. C = ~1 terameter/hour. RAM can go up to 12TB for servers)
	quadrillion = 10^15, ..., peta (2018 faster computer did 143 pentaflops)
	exa = google had 5-15 exabytes in 2013 according to xkcd. 2010 global internet traffic is 21 exabytes/mo

	pops:
	2100 world estimate: 12bil
	2046 world estimate: 9bil

	from typing import Callable, TypeVar
	from typing_extensions import Protocol
	from cache import cache

	X = TypeVar("X")
	Y = TypeVar("Y")
	Z = TypeVar("Z")

	class Wrapper(Protocol):
	__wrapped__: Callable

	import csv
	from datetime import time, datetime as dt

	DAY_NAMES = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]

	def find_shift_agents(csv_filename, search_dt):
	shifts = [[] for day in DAY_NAMES]
	with open(csv_filename) as f:
	for name, shift_ranges in csv.reader(f):
	for shift_range in shift_ranges.split(" / "):

	sqlite> # departure_airport, arrival_airport, cost (EUR), travel_time (minutes)
	sqlite> SELECT * FROM flights;AMS\|KBP\|329\|170
	AMS\|OTP\|308\|165
	BRU\|KBP\|70\|165
	BRU\|OTP\|110\|165
	CDG\|KBP\|201\|185
	CDG\|OTP\|160\|170
	CDG\|AMS\|588\|80
	CDG\|BRU\|287\|55
	KBP\|AMS\|423\|185

	$ mypy test.py
	test.py:71: error: List comprehension has incompatible type List[Callable[[List[str]], List[str]]]; expected List[Callable[[Arg(List[str], 'names')], List[str]]]

	"""
	This is the version my interviewer seemed to want me to write.
	It uses a list of shifts using the 1900-1-1 offsets returned by strptime
	"""

	import csv
	from datetime import datetime as dt

	DAY_NAMES = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]

	class Board:
	def __init__(self, n=3):
	self.board = [["*" for i in range(n)] for j in range(n)]
	self.n = n

	def move(self, player):
	raw = raw_input("x,y move for player %s? " % player)
	try:
	x, y = map(int, raw.split(","))
	cell = self.board[y][x]

	from random import shuffle



	class Cell:
	def __init__(self, board, y, x):
	self.board = board
	self.y = y
	self.x = x
	self.mine = False