jill.py | platform installer for the Julia programming language

@dataclass
class Employee:
    name: str

    def print_name(self):
        print(self.name)

@dataclass
class Developer(Employee):
    work_from_home: bool

    def print_developer(self):
        print(f"Developer {self.name} does{'' if s

import bs4, requests

response = requests.get('https://www.nytimes.com/',headers={'User-Agent': 'Mozilla/5.0'})
soup = bs4.BeautifulSoup(response.text,'lxml')

soup.body.get_text(' ', strip=True)

'Continue reading 

df['people']=df['people'].str.replace('[', '').str.replace(']', '')
df['people']=df['people'].str.split(',')

df2=df.explode('people')
res = pd.crosstab(df2['people'], df2['statusName'])
res['Total']=res['Assigned']

import copy
import json

List1= [
    {'Europe': {'DE': {'Berlin': ['Jack']}}},
    {'Europe': {'DE': {'KL': ['Paul']}}},
    {'Asia': {'PH': {'Manila': ['Jose', 'Rizal']}}},
    {'Europe': {'FR': {'Paris': ['Jean', "Pierre"]}}},
    {'Asi

>>> df1['Items'] = df1['Items'].str.split(',').apply(lambda x:[i.strip() for i in x])
>>> df1 = df1.explode('Items').reset_index(drop=True)

>>> def getName(x):
        return next(iter(df

df1["Items"] = df1["Items"].str.split(", ")
mapper = df1.explode("Items")
mapper = dict(zip(mapper["Items"], mapper["Name"]))

df2["Name"] = df2["values"].apply(lambda x: " ".join([mapper.get(word,"") for word in x.

subjects = {'Physics', 'Chemistry'}
df.groupby('Name').SubjectName.agg(list).apply(subjects.issubset)

# Name
# Albert    False
# Alice     False
# Jack       True
# Jill      False
# John       True
# Name: SubjectId, dtype: bool
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