yatakeke

a = np.zeros([2,2])
a[(0, 1),(0, 1)] = 1
print(a)

return
====>>>> array([1, 0],
               [0, 1])
               

yatakeke

a = list(range(10))
print("before : ", a)
b = np.random.permutation(a)
print("after : ", b)

====>>>> 
before :  [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
after :  [9 7 4 0 8 3 2 6 5 1]

yatakeke

def step_function(x):
  return np.where(x >= 0, 1, 0)
  
### It is equivalent to below code to give 1-D array to np.where.
### variables = np.where(condition, val1, val2) <=> variables = val1 if x >= 0 else val2

def step_function(x:list):
  return np.maximum(x, 0)

yatakeke

from glob import glob
from os import path

def listup_file_name(data_path, extension=None, abspath=True):
    extension = '.' + extension if extension else ''
    if abspath:
        return glob(data_path + '*' + extension)
    else:
        return glob(path.relpath(data_path + '*' + extension))

yatakeke

<?php
public function createapp($email, $password){
        
        $url = "https://api.heroku.com/apps";
        $ch = curl_init($url);
        
        curl_setopt($ch, CURLOPT_POST, true);
        curl_setopt($ch, CURLOPT_USERPWD, $email.":".$password);
        
        $headers = ['Accept: application/vnd.heroku+json; version=3',"Content-Type: application/json"];

yatakeke

import MeCab
def tokenization(text, dic_path, lex = None):
        # -Oyomi (ヨミ付与) -Ochasen (ChaSen互換) -Odump (全情報を出力)
        
        unknown_option = "-U %M\\t未知語,*,*,*,*,*,*,*,*\\n"
        mecab_options = " ".join(["-d", dic_path, unknown_option])
        
        tagger = MeCab.Tagger(mecab_options)
        parse = tagger.parse(text).replace('\t',',')