Kerem Karatal keremk

git clone [email protected]:filipstrand/mflux.git
cd mflux && pip install -r requirements.txt

Name this anything, maybe flux.py. Make sure to update the two paths marked below.

Videos

Introduction to Functional Programming Johannes Weiß - https://vimeo.com/100786088
ReactiveCocoa at MobiDevDay Andrew Sardone - https://vimeo.com/65637501
The Future Of ReactiveCocoa Justin Spahr-Summers - https://www.youtube.com/watch?v=ICNjRS2X8WM
Enemy of the State Justin Spahr-Summers - https://www.youtube.com/watch?v=7AqXBuJOJkY
WWDC 2014 Session 229 - Advanced iOS Application Architecture and Patterns Andy Matuschak - https://developer.apple.com/videos/play/wwdc2014/229/
Functioning as a Functionalist Andy Matuschak - https://www.youtube.com/watch?v=rJosPrqBqrA
Controlling Complexity in Swift Andy Matuschak - https://realm.io/news/andy-matuschak-controlling-complexity/

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

Roll your own iPython Notebook server with Amazon Web Services (EC2) using their Free Tier.

An active AWS account. First time sign-ups are eligible for the free tier for a year
One Micro Tier EC2 Instance
With AWS we will use the stock Ubuntu Server AMI and customize it.
Anaconda for Python.
Coffee/Beer/Time

	# -----------------------------------------------------------------------------
	# AI-powered Git Commit Function
	# Copy paste this gist into your ~/.bashrc or ~/.zshrc to gain the `gcm` command. It:
	# 1) gets the current staged changed diff
	# 2) sends them to an LLM to write the git commit message
	# 3) allows you to easily accept, edit, regenerate, cancel
	# But - just read and edit the code however you like
	# the `llm` CLI util is awesome, can get it here: https://llm.datasette.io/en/stable/

	gcm() {

	# STEP 1: Load

	# Load documents using LangChain's DocumentLoaders
	# This is from https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/csv.html

	from langchain.document_loaders.csv_loader import CSVLoader
	loader = CSVLoader(file_path='./example_data/mlb_teams_2012.csv')
	data = loader.load()

	final class Loader: BindableObject {
	let didChange = PassthroughSubject<Data?, Never>()
	var task: URLSessionDataTask!
	var data: Data? = nil {
	didSet {
	didChange.send(data)
	}
	}

	init(_ url: URL) {

	package fpmax

	import scala.util.Try
	import scala.io.StdIn.readLine

	object App0 {
	def main: Unit = {
	println("What is your name?")

	val name = readLine()

	{
	"AWSEBDockerrunVersion": "1",
	"Image": {
	"Name": "<AWS_ACCOUNT_ID>.dkr.ecr.us-east-1.amazonaws.com/<NAME>:<TAG>",
	"Update": "true"
	},
	"Ports": [
	{
	"ContainerPort": "443"
	}

	/**
	Provides the ability to verify key paths at compile time.

	If "keyPath" does not exist, a compile-time error will be generated.

	Example:
	// Verifies "isFinished" exists on "operation".
	NSString *key = SQKeyPath(operation, isFinished);

	// Verifies "isFinished" exists on self.