bulajic

How to calculate your hourly rate as a freelancer?

Many people struggle with this question. Some just try to make as much as a full-time employee makes (and ignore that they won't be able to bill as many days). Others follow tips on startup related websites that suggest to ask for 20% to 50% more than an salary would yield (and ignore the additional risk and expenses they have).

Below you will find some numbers to help you calculate how high your hourly or daily rate should be.

Your yearly income should be higher than an average salary

You take more risk than full time employees, phases without income are likely

A curated list of AWS resources to prepare for the AWS Certifications

A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.

This contract for general design sevices is a hybrid of this one on Docracy and the AIGA one also found on Docracy. I wanted something that was simple yet covered the important bits such as payment schedule, kill fee, liability, rights etc. Change the parts in square brackets to suit. I've had this checked by a lawyer but I recommend if you decide to use it you also get it looked at by a lawyer too. Never do work without a contract in place. The majority of clients are good, decent and want to create great work with you — having a solid contract in place will strengthen that relationship and provide you with protection should things go awry.

Agreement for commission of work between [Designer Name] (Designer)

and [Client Name] (Client)

on [Date]

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

Clarify and agree on the scope of the system

User cases (description of sequences of events that, taken together, lead to a system doing something useful)
- Who is going to use it?
- How are they going to use it?

A Few Useful Things to Know about Machine Learning

The paper presents some key lessons and "folk wisdom" that machine learning researchers and practitioners have learnt from experience and which are hard to find in textbooks.

1. Learning = Representation + Evaluation + Optimization

All machine learning algorithms have three components:

Representation for a learner is the set if classifiers/functions that can be possibly learnt. This set is called hypothesis space. If a function is not in hypothesis space, it can not be learnt.
Evaluation function tells how good the machine learning model is.
Optimisation is the method to search for the most optimal learning model.

"A little bit of slope makes up for a lot of y-intercept"

01/13/2012. From a lecture by Professor John Ousterhout at Stanford, class CS140

Here's today's thought for the weekend. A little bit of slope makes up for a lot of Y-intercept.

[Laughter]

These are the Kickstarter Engineering and Data role definitions for both teams.

Technical	Data	People
Junior Software Engineer
Software Engineer	Data Analyst
Senior Software Engineer	Data Scientist	Engineering Manager
Staff Engineer	VP of Data	Engineering Director
Principal Engineer		CTO

	#!/bin/sh

	# Written by: Keefer Rourke <https://krourke.org>
	# Based on AUR package <https://aur.archlinux.org/cgit/aur.git/tree/PKGBUILD?h=ttf-google-fonts-git>

	# dependancies: fonts-cantarell, ttf-ubuntu-font-family, git
	sudo apt-get install fonts-cantarell ttf-ubuntu-font-family git
	srcdir="/tmp/google-fonts"
	pkgdir="/usr/share/fonts/truetype/google-fonts"
	giturl="git://github.com/google/fonts.git"

	#! /usr/bin/env python
	# -- coding: utf-8 --
	"""This module's docstring summary line.

	This is a multi-line docstring. Paragraphs are separated with blank lines.
	Lines conform to 79-column limit.

	Module and packages names should be short, lower_case_with_underscores.
	Notice that this in not PEP8-cheatsheet.py

	-----BEGIN PGP SIGNED MESSAGE-----
	Hash: SHA256

	This is my standard consulting agreement, drafted by Addison Cameron-Huff
	<[email protected]> Feel free to use/distribute this as you see fit.


	Consulting Agreement
	====================