bee-san

from socket import *

serverPort = 12008 # large port number as not to interfer, still lower than 2^16-1
serverName = 'hostname'

serverSocket = socket(AF_INET, SOCK_STREAM)
# Makes it so it uses IPV4 and TCP
serverSocket.bind(('', serverPort))
# binds socket to server
serverSocket.listen(1)

bee-san

N = 100:10:10000;
% creates a vector for N, the different values for the number of steps 

error = zeros(size(N));
% creates an array to store the error in
for i=1:length(N)
    S = planetsolve(1, 2, 1, N(i));  
    error(i) = abs(S(end) - 1);
end
% calculates modulus of R(2pi) - 1 for every value of N in vector above

bee-san

#!/usr/bin/env python

import unicornhat as unicorn
import time, math, colorsys, random

print("Displaying the rainbows")

unicorn.brightness(0.3)

speed = 0.03

bee-san

a = input("") ; a = [int(x) for x in input().split()] ; H, B, L = [int(x) for i in a]
try:
  L = float(input("Enter your length here: "));B = float(input("Enter your breadth here "));H = float(input("Enter height here "))
  print((((2 * H) * (L + B) + (L * B) * 1.06  ) / (L*B)))
except: 
  while True:
    print(1)
  

bee-san

from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)

bee-san

from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)

bee-san

import tensorflow as tf

bee-san

x = tf.placeholder(tf.float32, [None, 784])

bee-san

def make_Dictionary(train_dir):
    # where train_dir is the directory of the emails
    emails = [os.path.join(train_dir,f) for f in os.listdir(train_dir)]    
    all_words = []       
    for mail in emails:    
        with open(mail) as m:
            for i, line in enumerate(m):
                if i == 2:  # Body of email is only 3rd line of text file
                    words = line.split()
                    all_words += words

bee-san

def make_Dictionary(train_dir):
    # where train_dir is the directory of the emails
    emails = [os.path.join(train_dir,f) for f in os.listdir(train_dir)]    
    all_words = []       
    for mail in emails:    
        with open(mail) as m:
            for i, line in enumerate(m):
                if i == 2:  # Body of email is only 3rd line of text file
                    words = line.split()
                    all_words += words