Marco Lee marcoleewow

FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.

Effective Engineer - Notes

By Edmond Lau
Highly Recommended 👍
http://www.theeffectiveengineer.com/

What's an Effective Engineer?

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!

\

People

`:bowtie:`	😄 `:smile:`	😆 `:laughing:`
😊 `:blush:`	😃 `:smiley:`	☺️ `:relaxed:`
😏 `:smirk:`	😍 `:heart_eyes:`	😘 `:kissing_heart:`
😚 `:kissing_closed_eyes:`	😳 `:flushed:`	😌 `:relieved:`
😆 `:satisfied:`	😁 `:grin:`	😉 `:wink:`
😜 `:stuck_out_tongue_winking_eye:`	😝 `:stuck_out_tongue_closed_eyes:`	😀 `:grinning:`
😗 `:kissing:`	😙 `:kissing_smiling_eyes:`	😛 `:stuck_out_tongue:`

This is a post by Joel Spolsky. The original post is linked at the bottom.

This is such a common question here and elsewhere that I will attempt to write the world's most canonical answer to this question. Hopefully in the future when someone on answers.onstartups asks how to split up the ownership of their new company, you can simply point to this answer.

The most important principle: Fairness, and the perception of fairness, is much more valuable than owning a large stake. Almost everything that can go wrong in a startup will go wrong, and one of the biggest things that can go wrong is huge, angry, shouting matches between the founders as to who worked harder, who owns more, whose idea was it anyway, etc. That is why I would always rather split a new company 50-50 with a friend than insist on owning 60% because "it was my idea," or because "I was more experienced" or anything else. Why? Because if I split the company 60-40, the company is going to fail when we argue ourselves to death. And if you ju

	import math
	from collections import OrderedDict
	import torch.nn as nn
	import torch.nn.init as init
	import torch as th
	import torch.nn.functional as F
	from torch.autograd import Variable


	class SPPLayer(nn.Module):

	import logging

	import numpy as np
	import tensorflow as tf
	from tensorflow.contrib import layers


	GO_TOKEN = 0
	END_TOKEN = 1
	UNK_TOKEN = 2

	"""
	Beam decoder for tensorflow

	Sample usage:

	```
	from tf_beam_decoder import beam_decoder

	decoded_sparse, decoded_logprobs = beam_decoder(
	cell=cell,

	SPC s c remove highlight

	**** Files manipulations key bindings
	Files manipulation commands (start with ~f~):

	\| Key Binding \| Description \|
	\|-------------+----------------------------------------------------------------\|
	\| ~SPC f c~ \| copy current file to a different location \|
	\| ~SPC f C d~ \| convert file from unix to dos encoding \|
	\| ~SPC f C u~ \| convert file from dos to unix encoding \|

	import numpy as np
	from tensorflow.python.summary.event_accumulator import EventAccumulator

	import matplotlib as mpl
	import matplotlib.pyplot as plt

	def plot_tensorflow_log(path):

	# Loading too much data is slow...
	tf_size_guidance = {

	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)