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## AComprehensiveGuidetoTitanicMachineLearning.ipynb

      
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                kcha4github
                / AComprehensiveGuidetoTitanicMachineLearning.ipynb
            
            
              Created
              October 10, 2018 13:53
            
              
                Test of Gist Presentation of Jupyter Notebook
              
          
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## UnityChan.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;

public class UnityChan : MonoBehaviour {

    public float speed = 1f;

    Animator animator;

## numpy_random_choice.py
import numpy as np

chars = np.array(['a', 'b', 'c', 'd', 'e', 'f'])
mask1 = np.random.choice(6, 4)
mask2 = np.random.choice(6, 4, replace=False)
print(mask1)        # ex:[4 5 0 5]
print(chars[mask1]) # ex:['e' 'f' 'a' 'f']
print(mask2)        # ex:[0 5 4 2]
print(chars[mask2]) # ex:['a' 'f' 'e' 'c']

## nn_activation_function.py
import numpy as np
import matplotlib.pyplot as plt

def step_function(x):
    return np.array(x > 0, dtype=np.int)

def sigmoid(x):
    return 1 / (1 + np.exp(-x))

def relu(x):

## OutputDividedString.py
# -*- coding: utf-8 -*-

values = [1, 2, 3, 4, 5]
strs = map(str, values)
print(" ".join(strs))

## OutputDividedString.cs
using System;

namespace ConsoleApp
{
    class Program
    {
        static void Main(string[] args)
        {
            int[] values = new int[5] { 1, 2, 3, 4, 5 };
            Console.WriteLine(string.Join(" ", values));

## knapsack_algorithm.py
# -*- coding: utf-8 -*-
ITEMS = 5
SIZE = [2, 3, 5, 6, 9]
VALUE = [2, 4, 7, 10, 14]
NAP_SIZE = 16

nap_value = [0] * (NAP_SIZE + 1)

print("ナップザックの大きさ：", end="")
for i in range(1, NAP_SIZE+1):

## hasattr_test.py
# -*- coding: utf-8 -*-

class OldRobot():
    def __init__(self):
        self.speed = 5

    def walk(self):
        print("old robot walking {} km/h.".format(self.speed))

class NewRobot():

## zip_test.py
# -*- coding: utf-8 -*-

names = ["alice", "becky", "charlie", "Dave"]
ages = [25, 38, 12]

for name, age in zip(names, ages):
    print(name, age)

# alice 25
# becky 38

## vs_tweet.py
# -*- coding: utf-8 -*-

while True:
    bins = input().split()
    if len(bins) == 0:
        break

    for b in bins:
        print(chr(int(b,2)), end='')
	using System.Collections;
	using System.Collections.Generic;
	using UnityEngine;

	public class UnityChan : MonoBehaviour {

	public float speed = 1f;

	Animator animator;
	import numpy as np

	chars = np.array(['a', 'b', 'c', 'd', 'e', 'f'])
	mask1 = np.random.choice(6, 4)
	mask2 = np.random.choice(6, 4, replace=False)
	print(mask1) # ex:[4 5 0 5]
	print(chars[mask1]) # ex:['e' 'f' 'a' 'f']
	print(mask2) # ex:[0 5 4 2]
	print(chars[mask2]) # ex:['a' 'f' 'e' 'c']
	import numpy as np
	import matplotlib.pyplot as plt

	def step_function(x):
	return np.array(x > 0, dtype=np.int)

	def sigmoid(x):
	return 1 / (1 + np.exp(-x))

	def relu(x):
	# -- coding: utf-8 --

	values = [1, 2, 3, 4, 5]
	strs = map(str, values)
	print(" ".join(strs))
	using System;

	namespace ConsoleApp
	{
	class Program
	{
	static void Main(string[] args)
	{
	int[] values = new int[5] { 1, 2, 3, 4, 5 };
	Console.WriteLine(string.Join(" ", values));
	# -- coding: utf-8 --
	ITEMS = 5
	SIZE = [2, 3, 5, 6, 9]
	VALUE = [2, 4, 7, 10, 14]
	NAP_SIZE = 16

	nap_value = [0] * (NAP_SIZE + 1)

	print("ナップザックの大きさ：", end="")
	for i in range(1, NAP_SIZE+1):
	# -- coding: utf-8 --

	class OldRobot():
	def __init__(self):
	self.speed = 5

	def walk(self):
	print("old robot walking {} km/h.".format(self.speed))

	class NewRobot():
	# -- coding: utf-8 --

	names = ["alice", "becky", "charlie", "Dave"]
	ages = [25, 38, 12]

	for name, age in zip(names, ages):
	print(name, age)

	# alice 25
	# becky 38
	# -- coding: utf-8 --

	while True:
	bins = input().split()
	if len(bins) == 0:
	break

	for b in bins:
	print(chr(int(b,2)), end='')