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from __future__ import annotations (#2464)

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* from __future__ import annotations

* fixup! from __future__ import annotations

* fixup! from __future__ import annotations

* fixup! Format Python code with psf/black push

Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
This commit is contained in:
Christian Clauss
2020-09-23 13:30:13 +02:00
committed by GitHub
parent 6e6a49d19f
commit 9200a2e543
72 changed files with 275 additions and 250 deletions
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6
web_programming/fetch_jobs.py
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@@ -1,7 +1,9 @@
"""
Scraping jobs given job title and location from indeed website
"""
from typing import Generator, Tuple
from __future__ import annotations
from typing import Generator
import requests
from bs4 import BeautifulSoup
@@ -9,7 +11,7 @@ from bs4 import BeautifulSoup
url = "https://www.indeed.co.in/jobs?q=mobile+app+development&l="
def fetch_jobs(location: str = "mumbai") -> Generator[Tuple[str, str], None, None]:
def fetch_jobs(location: str = "mumbai") -> Generator[tuple[str, str], None, None]:
soup = BeautifulSoup(requests.get(url + location).content, "html.parser")
# This attribute finds out all the specifics listed in a job
for job in soup.find_all("div", attrs={"data-tn-component": "organicJob"}):

5
web_programming/get_imdb_top_250_movies_csv.py
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@@ -1,11 +1,12 @@
from __future__ import annotations
import csv
from typing import Dict
import requests
from bs4 import BeautifulSoup
def get_imdb_top_250_movies(url: str = "") -> Dict[str, float]:
def get_imdb_top_250_movies(url: str = "") -> dict[str, float]:
url = url or "https://www.imdb.com/chart/top/?ref_=nv_mv_250"
soup = BeautifulSoup(requests.get(url).text, "html.parser")
titles = soup.find_all("td", attrs="titleColumn")