sam-thecoder

import keras
from keras import layers
from keras.layers.core import Dense, Activation
from keras.models import Sequential
from keras.callbacks import EarlyStopping
from keras.callbacks import ModelCheckpoint
import pandas as pd
from sklearn.model_selection import train_test_split
import numpy as np
from sklearn.metrics import accuracy_score

sam-thecoder

from sklearn.ensemble import RandomForestClassifier

X = df[['Open', 'Max 7', 'Min 7', 'Change', 'Mean Change 7', 'Drop 7', 'Up 7']].values
y = df['Actual'].values

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.20, random_state=42)

clf = RandomForestClassifier(max_depth=2, random_state=0)
clf.fit(X_train, y_train)

sam-thecoder

import requests
import time
import datetime
import pandas as pd

df = pd.DataFrame(columns=['Date', 'Value'])

def data_retriever(sleep=30):
    global df
    while True:

sam-thecoder

def count_drop(numbers):
    return len([x for x in numbers if x < 0])

def count_up(numbers):
    return len([x for x in numbers if x > 0])

def actual_calc(row):
    if row['Value'] > row['Open 2']:
        return 0
    return 1

sam-thecoder

def player_3(start_date=None, sleep=False, sleep_time=1, plot=False, output=True, miss_output=False, miss_plot=False, kind='line'):
    user_key, day_info, amount, invested, profit, loss, game_active = stock_game(start_date=start_date)

    miss_colors = ['g']

    while game_active == False:
        predict = clf.predict(day_info[['Value USD', 'Max 7', 'Min 7', 'Change', 'Mean Change 7', 'Drop 7', 'Up 7']].values.reshape(1, -1))[0]
        state = abs(day_info['Predict'])
        
        if state == 0:

sam-thecoder

from PIL import Image 

def get_pixels(image):
    im = Image.open(image)

    pixels = []
    pix = im.load()

    width,height = im.size
    img_width, img_height = 0,0

sam-thecoder

import numpy as np
import matplotlib.pyplot as plt
import datetime
import time

import tweepy

#get this from apps.twitter.com
consumer_key = 'xxxx'
consumer_secret = 'xxxx'

sam-thecoder

/*CSRF Code */
function csrfSafeMethod(method) {
    // these HTTP methods do not require CSRF protection
    return (/^(GET|HEAD|OPTIONS|TRACE)$/.test(method));
}
function sameOrigin(url) {
    // test that a given url is a same-origin URL
    // url could be relative or scheme relative or absolute
    var host = document.location.host; // host + port
    var protocol = document.location.protocol;

sam-thecoder

from django.shortcuts import render, render_to_response
import random
import string
from PIL import Image, ImageFont, ImageDraw
from captcha.models import Captcha
import json
from django.http import HttpResponse, HttpResponseRedirect
from django.contrib.auth.models import User
from django.contrib.auth import login as django_login
def random_filename(path=None, length=None):

sam-thecoder

def login_page(request, template_name="login.html"):
    context = {'title': 'Login Page'}
    file_name, answer, _, result_id = generate_captcha()
    context['captcha_url'] = '/' + file_name
    context['ref_id'] = result_id
    return render_to_response(template_name, context)
  
def login_ajax(request):
 response = {'status': None}
if request.method == 'POST':