RowlandOti

package com.fenchtose.footerloaderadapterdemo.adapters;

import android.content.Context;
import android.support.v7.widget.RecyclerView;
import android.view.LayoutInflater;
import android.view.View;
import android.view.ViewGroup;

import com.fenchtose.footerloaderadapterdemo.R;

RowlandOti

<android.support.design.widget.CoordinatorLayout
    xmlns:android="http://schemas.android.com/apk/res/android"
    xmlns:tools="http://schemas.android.com/tools"
    xmlns:app="http://schemas.android.com/apk/res-auto"
    android:layout_width="match_parent"
    android:layout_height="match_parent"
    android:id="@+id/main_content"
    tools:context=".ContactsActivity">

    <android.support.design.widget.AppBarLayout

RowlandOti

Studying for a Tech Interview Sucks, so Here's a Cheat Sheet to Help

This list is meant to be a both a quick guide and reference for further research into these topics. It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth. It also will be available as a gist on Github for everyone to edit and add to.

Data Structure Basics

###Array ####Definition:

• Stores data elements based on an sequential, most commonly 0 based, index.
• Based on tuples from set theory.

RowlandOti

import android.content.Context;
import android.support.annotation.NonNull;
import android.support.annotation.Nullable;
import android.support.v7.widget.RecyclerView;
import android.util.AttributeSet;
import android.view.View;



public class EmptyRecyclerView extends RecyclerView {

RowlandOti

# -*- coding: utf-8 -*-

import sys
import numpy

numpy.seterr(all='ignore')


'''

RowlandOti

# Tiny example of 3-layer nerual network with dropout in 2nd hidden layer
# Output layer is linear with L2 cost (regression model)
# Hidden layer activation is tanh

import numpy as np

n_epochs = 100
n_samples = 100
n_in = 10
n_hidden = 5

RowlandOti

#Author: Krishnamurthy Koduvayur Viswanathan

from __future__ import division
import collections
import math

class Model: 
        def __init__(self, arffFile):
                self.trainingFile = arffFile
                self.features = {}      #all feature names and their possible values (including the class label)

RowlandOti

import numpy as np
import sys

class RecurrentNeuralNetwork:
    def __init__(self,xs,ys,rl,eo,lr):
        self.x=np.zeros(xs)
        self.xs=xs
        self.y=np.zeros(ys)
        self.ys=ys
        self.w=np.random.random((ys,ys))

RowlandOti

/**
 * ArcUtils.java
 * 
 * Copyright (c) 2014 BioWink GmbH.
 * 
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is

RowlandOti

import android.animation.Animator;
import android.animation.TimeInterpolator;
import android.annotation.TargetApi;
import android.graphics.Color;
import android.os.Build;
import android.support.annotation.NonNull;
import android.util.Log;
import android.view.MotionEvent;
import android.view.View;
import android.view.ViewAnimationUtils;