bobbyali

Python quickstart tutorial
	http://www.swaroopch.com/notes/python/#first_steps

	Triple Quotes for multiple line strings

	Split lines - use \
	
	Strings:
		* print '{0} was {1} years old when he wrote this book'.format(name, age)
			{0:.3f}'.format(1.0/3)    -->  0.333

bobbyali

import UIKit
import YouTubePlayer

class PlayerViewController: UIViewController, YouTubePlayerDelegate {

    
    @IBOutlet var videoPlayer: YouTubePlayerView!
    var videoID: String?
    
    override func viewDidLoad() {

bobbyali

Swift iOS Recipes
==================

** GUI Layout ** 

Alerts

        var alert = UIAlertController(title: "Alert", message: "Message", preferredStyle: UIAlertControllerStyle.Alert)
        alert.addAction(UIAlertAction(title: "Click", style: UIAlertActionStyle.Default, handler: nil))
        self.presentViewController(alert, animated: true, completion: nil)

bobbyali

package naive_bayes;
import java.util.*;

public class NaiveBayesBinary {	
	// lists containing training data
	private List<Boolean> training_mumPresent = new ArrayList<Boolean>();
	private List<Boolean> training_dadPresent = new ArrayList<Boolean>();
	private List<Boolean> training_babyPresent = new ArrayList<Boolean>();
	private List<Boolean> training_outcome = new ArrayList<Boolean>();
	

bobbyali

package naive_bayes;

import java.util.ArrayList;
import java.util.List;

public class NaiveBayesContinuous {
	// lists containing training data
		private List<Float> training_nap = new ArrayList<Float>();
		private List<Float> training_eat = new ArrayList<Float>();
		private List<Float> training_toy = new ArrayList<Float>();

bobbyali

Keybase proof

I hereby claim:

• I am bobbyali on github.
• I am rehanali1 (https://keybase.io/rehanali1) on keybase.
• I have a public key ASCmbU-0pYPZlnh74G2dJvnI97524SJSPBywpRkBSQqhJAo

To claim this, I am signing this object:

bobbyali

===================================
GENERAL READING

Here are some general data science sites that could be worth a look. They contain links to lots of other good sites and resources. It's worth having a browse and seeing what captures your interest.

- http://partiallyderivative.com/news/2015/01/09/episode-9-the-one-that-will-totally-change-your-life
- http://blog.yhat.com/posts/ML-resources-you-should-know.html (summary of lots of resources)
- http://www.kdnuggets.com
- https://tinyletter.com/datamachina
- http://www.svds.com/blog/

bobbyali

This document contains a set of resources for helping to find a job in data science. It's possibly focused more on 
getting an initial junior data scientist role, and a foothold into the industry. Give me a shout if you would like any 
help with any of this.

CV PREP
=======

Here are some general tips for writing a decent CV:
http://www.base36.com/2013/03/10-tips-for-a-successful-technical-resume/