vinimonteiro

from sklearn.metrics.pairwise import cosine_similarity
import pandas as pd

basetext = """
Quantum computers encode information in 0s and 1s at the same time, until you "measure" it
"""
text1 = """
A qubit stores "0 and 1 at the same time" in the same way how a car travelling north-west travels north and west at the same time
"""
text2 = """

vinimonteiro

import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns

def predict(X, w, b):
    return X * w + b

def loss(X, Y, w, b):
    return np.average((predict(X, w, b) - Y) ** 2)

vinimonteiro

def gen_file_reader(file_path):
    for row in open(file_path, "r"):
         yield row
        
def gen_print_row_count():
    count = 0
    for row in gen_file_reader("large_file"):
        count += 1
    print(f"Total count is {count}")
    

vinimonteiro

$ python large_file_example.py
Total count is 72456321

vinimonteiro

def file_reader(file_path):
    rows = []
    for row in open(file_path, "r"):
        rows.append(row)
    return rows
  
 def print_row_count():
    count = 0
    for row in file_reader("large_file"):
        count += 1

vinimonteiro

$ python /Users/viniciusmonteiro/hello_world.py
Hello World
$ 

vinimonteiro

$ python
>>> print('Hello World')
Hello World
>>> 

vinimonteiro

>>> print(923125123133123123163123193133193122123923123177 + 5)
923125123133123123163123193133193122123923123182

vinimonteiro

>>> squares  = {i:i*i for i in range(6)}
>>> squares
{0: 0, 1: 1, 2: 4, 3: 9, 4: 16, 5: 25}

vinimonteiro

>>> squares  = {i*i for i in range(6)}
>>> squares
{0, 1, 4, 9, 16, 25}