Remo Harsono remoharsono

Setup your development environment for OS X

I bought new Macbook Pro 15 Retina. These are tools I like to install on macOS operating system.

Checklist

Prep OS X

Download and install latest version of Xcode from the Mac App Store.
Download and install Apple's Command Line Tools by issuing this command xcode-select --install

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.

Requirements

Minikube requires that VT-x/AMD-v virtualization is enabled in BIOS. To check that this is enabled on OSX / macOS run:

sysctl -a | grep machdep.cpu.features | grep VMX

If there's output, you're good!

Prerequisites

Terminology

View: Also called a "template", a file that contains markup (like HTML) and optionally additional instructions on how to generate snippets of HTML, such as text interpolation, loops, conditionals, includes, and so on.
View engine: Also called a "template library" or "templater", ie. a library that implements view functionality, and potentially also a custom language for specifying it (like Pug does).
HTML templater: A template library that's designed specifically for generating HTML. It understands document structure and thus can provide useful advanced tools like mixins, as well as more secure output escaping (since it can determine the right escaping approach from the context in which a value is used), but it also means that the templater is not useful for anything other than HTML.
String-based templater: A template library that implements templating logic, but that has no understanding of the content it is generating - it simply concatenates together strings, potenti

HTTP/2 (h2) in NGINX notes

Video - https://www.youtube.com/watch?v=Jw5vBlKLdmc

Requirements:

NGINX 1.9.5+ / NGINX Plus R7+ (nginx -v)

Working with images

We now have everything we need to build a web app, except for images and other binary files. Your application will likely not get a lot of engagement if its not visual. In this lesson, we shall be adding the ability to upload images to your Posts api.

Since this will be a continuation from the class on Deploying to production you are adviced to start by cloning that workspace and then working from there.

	<?php
	// Referensi :
	// https://id.wikipedia.org/wiki/Algoritma_Knuth-Morris-Pratt
	// https://stackoverflow.com/questions/44081348/is-it-possible-to-use-knuth-morris-pratt-algorithm-for-string-matching-on-text-t
	// http://www.elangsakti.com/2013/03/implementasi-algoritma-string-matching.html
	// https://stackoverflow.com/questions/29439930/knuth-morris-pratt-string-search-algorithm
	// https://stackoverflow.com/questions/5873935/how-to-optimize-knuth-morris-pratt-string-matching-algorithm
	// https://stackoverflow.com/questions/13271856/understanding-knuth-morris-pratt-algorithm
	//
	//

	"""
	This module contains an implementation of the Knuth-Morris-Pratt algorithm allowing to look for sequence matching.

	For example if you want to find the sequence [1, 2, 3] in [2, 3, 1, 2, 3, 5, 6], you could do:
	find_sequence([2, 3, 1, 2, 3, 5, 6], [1, 2, 3])

	This algorithm is especially interesting in case of many partial matches. Otherwise, you could simply use a brute
	force search with correct performances.
	The main function to use here is find_sequence which actually performs the KMP algorithm.

	from django.db import models
	from django.contrib.auth.models import User

	class Profile(models.Model):
	user = models.OneToOneField(User, on_delete=models.CASCADE)
	bio = models.TextField(max_length=500, blank=True)
	location = models.CharField(max_length=30, blank=True)
	birth_date = models.DateField(null=True, blank=True)

	Julia likes to study KMP algorithm again using lecture note. What she likes to do is to go over the lecture
	notes word by word, and then focus on thinking process.

	She started to review KMP using Chinese blog, but she found out that the blog is not clear, so she likes to
	follow up with more detail lecture note.

	She likes to write and also she likes to read good writing of the KMP algorithm.

	https://www.ics.uci.edu/~eppstein/161/960227.html