dipta007

# Ugly Code
add_address(road, block, city, state, country)

# Clean Code
add_address(address: Address)

dipta007

# Ugly code
def call(arr):
  arr.append(1)

call(arr)

# Clean Code
def call(arr):
  arr.append(1)
  return arr

dipta007

cnt += batch_size

if cnt >= total_row:
  pds = get_all(files, chunksize=batch_size)
  cnt = 0

dipta007

def data_generator():
  total_row = NUMBER_OF_ROWS
  files = [
    'a.csv',
    'b.csv',
    'c.csv',
    'd.csv',
  ]

  pds = get_all(files, chunksize=batch_size)

dipta007

def merge_all(*args):
  tmp = None
  args = args[0]
  for arg in args:
    if tmp is None:
      tmp = arg
    else:
      tmp = pd.merge(tmp, arg, how='inner', on=['id'])
  return tmp

dipta007

def get_all(*args, chunksize):
  pds = []
  args = args[0]
  for arg in args:
    pds.append(pd.read_csv(f'{BASE_PATH}/{arg}', chunksize=chunksize))
  return pds

dipta007

def get_all(*args, chunksize):
  pds = []
  args = args[0]
  for arg in args:
    pds.append(pd.read_csv(f'{BASE_PATH}/{arg}', chunksize=chunksize))
  return pds
  
def merge_all(*args):
  merged = None
  args = args[0]

dipta007

import csv

def data_generator():
  with open('nlp.csv') as fp:
    reader = csv.reader(fp)
    for row in reader:
	  yield row

for row in data_generator():
  print(row)

dipta007

dipta007

from flask import Flask

app = Flask(__name__)

@app.route('/', methods=['GET'])
def hello_world():
    return 'Hello World!'

if __name__ == '__main__':
    app.run(debug=True)