import requests
url = "http://t.weather.itboy.net/api/weather/city/101020100"
r = requests.get(url)
print(r.status_code)
response_dict = r.json()
f = response_dict['data']
ff = f['forecast']
ff_today = ff[0]
ff_1 = ff[1]
ff_2 = ff[2]
def show(day):
for x in day:
print(x+': '+str(day[x]))
print()
show(ff_today)
show(ff_1)
show(ff_2)
from openai import OpenAI
client = OpenAI(
api_key="Your api key",
)
completion = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{"role": "user", "content": "Explains the concept\
of recursion in programming."}
]
)
print(completion.choices[0].message)
GitHub
https://api.github.com/search/repositories?q=language:python&sort=stars
import requests
url = 'https://api.github.com/search/\
repositories?q=language:python&sort=stars'
r = requests.get(url)
print("Status code:", r.status_code)
response_dict = r.json()
for keys in response_dict.keys():
print(keys)
Status code: 200
total_count
incomplete_results
items
To keep the REST API fast for everyone, we limit how long any individual query can run. For queries that exceed the time limit, the API returns the matches that were already found prior to the timeout, and the response has the incomplete_results property set to true. Reaching a timeout does not necessarily mean that search results are incomplete. More results might have been found, but also might not.
print("Total repositories:", response_dict['total_count'])
repo_dicts = response_dict['items']
print("Repositories returned:", len(repo_dicts))
repo_dict = repo_dicts[0]
print("\nKeys:", len(repo_dict))
Total repositories: 13150294
Repositories returned: 30
Keys: 80
print("\nSelected information about first repository:")
print('Name:', repo_dict['name'])
print('Owner:', repo_dict['owner']['login'])
print('Stars:', repo_dict['stargazers_count'])
print('Repository:', repo_dict['html_url'])
print('Created:', repo_dict['created_at'])
print('Updated:', repo_dict['updated_at'])
print('Description:', repo_dict['description'])
Selected information about first repository:
Name: public-apis
Owner: public-apis
Stars: 294708
Repository: https://github.com/public-apis/public-apis
Created: 2016-03-20T23:49:42Z
Updated: 2024-05-27T08:51:28Z
Description: A collective list of free APIs
import requests
import plotly.express as px
URL = 'https://api.github.com/search/repositories?q=language:python&sort=star'
r = requests.get(URL)
print("Status code:", r.status_code)
response_dict = r.json()
repo_dicts = response_dict['items']
names, stars = [], []
for repo_dict in repo_dicts:
names.append(repo_dict['name'])
stars.append(repo_dict['stargazers_count'])
title = "Most-Starred Python Projects on GitHub"
labels = {'x': 'Repository', 'y': 'Stars'}
fig = px.bar(x = names, y=stars, title = title, labels=labels)
fig.write_html('python_repos.html')
import requests
api_access = 'Your API Key'
page = 1
url = f"https://api.tmdb.org/3/movie/\
top_rated?language=en-US&page={page}"
headers = {
"accept": "application/json",
"Authorization": f"Bearer {api_access}"
}
response = requests.get(url, headers=headers)
response_dict = response.json()
# print(response_dict)
movies=response_dict["results"]
print(len(movies))
for key, value in movies[0].items():
print(f"{key}: {value}")
adult: False
backdrop_path: /zfbjgQE1uSd9wiPTX4VzsLi0rGG.jpg
genre_ids: [18, 80]
id: 278
original_language: en
original_title: The Shawshank Redemption
overview: Imprisoned in the 1940s for the double murder of his wife and her lover,
upstanding banker Andy Dufresne begins a new life at the Shawshank prison,
where he puts his accounting skills to work for an amoral warden.
During his long stretch in prison, Dufresne comes to be admired by the other
inmates -- including an older prisoner named Red --
for his integrity and unquenchable sense of hope.
popularity: 115.576
poster_path: /9cqNxx0GxF0bflZmeSMuL5tnGzr.jpg
release_date: 1994-09-23
title: The Shawshank Redemption
video: False
vote_average: 8.705
vote_count: 26204
from pathlib import Path
poster = movies[0]['poster_path']
title = movies[0]['title']
img_url = f"https://image.tmdb.org/t/p/w500{poster}"
r = requests.get(img_url, headers=headers)
if r.status_code == 200:
save_path = Path(f"{title}.jpg")
save_path.write_bytes(r.content)
else:
print("download failed")
import requests
from pathlib import Path
api_access = 'Your API Key'
page = 1
url = f"https://api.tmdb.org/3/movie/\
top_rated?language=en-US&page={page}"
headers = {
"accept": "application/json",
"Authorization": f"Bearer {api_access}"
}
response = requests.get(url, headers=headers)
response_dict = response.json()
movies=response_dict["results"]
top10 = movies[:10]
for movie in top10:
poster = movie['poster_path']
title = movie['title']
img_url = f"https://image.tmdb.org/t/p/w500{poster}"
r = requests.get(img_url, headers=headers)
if r.status_code == 200:
save_path = Path(f"{title}.jpg")
save_path.write_bytes(r.content)
else:
print("download failed")
import requests
from pathlib import Path
api_access = 'Your API Key'
page = 1
url = f"https://api.tmdb.org/3/movie/\
now_playing?language=en-US&page={page}"
headers = {
"accept": "application/json",
"Authorization": f"Bearer {api_access}"
}
response = requests.get(url, headers=headers)
response_dict = response.json()
movies=response_dict["results"]
top10 = movies[:10]
for movie in top10:
poster = movie['poster_path']
title = movie['title']
img_url = f"https://image.tmdb.org/t/p/w500{poster}"
r = requests.get(img_url, headers=headers)
if r.status_code == 200:
save_path = Path(f"{title}.jpg")
save_path.write_bytes(r.content)
else:
print("download failed")
url="http://img1.money.126.net/data/hs/kline/day/history/2022/1399001.json"
贵州茅台
import requests
import matplotlib.pyplot as plt
url="http://img1.money.126.net/data/hs/kline/day/history/2022/0600519.json"
r = requests.get(url)
print(r.status_code)
response_dict = r.json()
print(response_dict)
data = response_dict['data']
for x in data[:5]:
print("""日期: {},开盘价:{},收盘价:{},最高价:{}
最低价:{},交易量:{},涨幅跌幅:{}""".format(x[0],\
x[1], x[2], x[3], x[4], x[5], x[6]))
200
日期: 20220104,开盘价:2055.0,收盘价:2051.23,最高价:2068.95
最低价:2014.0,交易量:3354450,涨幅跌幅:0.06
日期: 20220105,开盘价:2045.0,收盘价:2022.17,最高价:2065.0
最低价:2018.0,交易量:2804423,涨幅跌幅:-1.42
日期: 20220106,开盘价:2022.01,收盘价:1982.15,最高价:2036.0
最低价:1938.51,交易量:5134665,涨幅跌幅:-2.07
日期: 20220107,开盘价:1975.0,收盘价:1944.0,最高价:1988.88
最低价:1939.32,交易量:2923956,涨幅跌幅:-1.93
日期: 20220110,开盘价:1928.01,收盘价:1965.01,最高价:1977.0
最低价:1917.55,交易量:2883270,涨幅跌幅:1.18
from datetime import datetime
date, close_p = [], []
for y in data:
date.append(datetime.strptime(y[0],"%Y%m%d"))
close_p.append(y[2])
fig, ax = plt.subplots()
ax.plot(date,close_p, linewidth=0.5)
ax.scatter(date,close_p, s=5)
fig.autofmt_xdate()
plt.savefig('maotai.jpg',dpi=300)
from pathlib import Path
path = Path('alice.txt')
contents = path.read_text(encoding='utf-8')
Character Encoding: ASCII, Unicode, UTF-8, GBK
import qrcode
img=qrcode.make("Hello!")
img.save("x.png")
import qrcode
img=qrcode.make("https://wangwanglulu.com/")
img.save("wl.png")
Python Crash Couse (Chapters we do not cover: Chapter 12 - 14, 18 - 20)
Chapter 11: Testing Your Code
Chapter 12 -14: Alien Invasion
Chapter 18 - 20: Django
Python for Everybody (Chapters we do not cover: Chapter 11 - 13, 15 - 16)
Chapter 11: Reguler Expressions
Chapter 12: Networked Programs 12.4 - 12.8 (urlib, BeautifulSoup)
Chapter 13: Using Web Services (XML, JSON, API)
Chapter 15: Databases and SQL
Chapter 16: Visualizing data (Network, Word Cloud)