temmyzeus

# Creating  a class with the name `Item`
class Item:
    ...
    ...

temmyzeus

class Item:
    # this is a class variable
    percent_off = 0.1

    def __init__(self, item_name, price):
        self.item_name = item_name
        self.price = price

    @classmethod
    def from_list(cls, item_lst):

temmyzeus

class Item:
    # this is a class variable
    percent_off = 0.1

    def __init__(self, item_name, price):
        self.item_name = item_name
        self.price = price
    
    # a class method taking in 1 argument
    @classmethod

temmyzeus

class Item:
  
    def __init__(self, item_name, price):
        self.item_name = item_name
        self.price = price
    
    # this is an instance method taking in no arguments
    def buy_item(self):
        print(f'{self.item_name.title()} is being bought for ${self.price}')
        

temmyzeus

# Accessing Class / Static Variables from the class itself
print(Item.percent_off)

# Accessing Class / Static Variables from the instance object
print(burger.percent_off)

temmyzeus

class Item:
    # this is a class variable
    percent_off = 0.1

    def __init__(self, item_name, price):
        self.item_name = item_name
        self.price = price
        
burger = Item(item_name='burger', price=2.55)
# print out the percent_off

temmyzeus

class Item:
    # parameters for instance variables are defined in the __init__ function
    def __init__(self, item_name, price):
        self.item_name = item_name
        self.price = price

# instance variables are defined when the class is instantiated or created
burger = Item(item_name='burger', price=2.55)

temmyzeus

"""Convert Data from .json to .csv easily readable by Pandas"""
import os
import sys
import ast
from pathlib import Path
from typing import List, Dict

import pandas as pd

# Set directory to file directory so other paths are easily relative to it without error

temmyzeus

import os
import argparse

# Create the parser
my_parser = argparse.ArgumentParser(prog='myls',
                                    usage='%(prog)s [options] path',
                                    description='List the content of a folder')
                                    
args = my_parser.parse_args()

temmyzeus

import numpy as np
from sklearn.metrics import log_loss
np.random.seed(0)#Setting our seed to make our results reproducable

#Creating a sample target and a sample predictions probabilites
targets = np.random.randint(low=0,high=2,size=100)
probs = np.random.rand(100)

#Using Scikit-Learn Log Loss Metric
sklearn_loss = log_loss(