Python Programming

filename = 'Harry Potter.txt'
with open(filename, encoding="utf-8") as f_obj:
    contents = f_obj.read()

import qrcode

img=qrcode.make("Hello!")
img.save("x.png")

import qrcode

img=qrcode.make("https://wangwanglulu.com/")
img.save("wl.png")

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)

import openai

openai.api_key = "Your API KEY"

messages = [ {"role": "system", "content":
            "You are a intelligent assistant."} ]
while True:
    message = input("User : ")
    if message:
        messages.append(
            {"role": "user", "content": message},
        )
        chat = openai.ChatCompletion.create(
            model="gpt-3.5-turbo", messages=messages
        )
    reply = chat.choices[0].message.content
    print(f"ChatGPT: {reply}")
    messages.append({"role": "assistant", "content": reply})

url = 'https://api.github.com/search/repositories?q=language:python&sort=stars'

import requests

# Make an API call and store the response.
r = requests.get(url)
print("Status code:", r.status_code)
# Store API response in a variable.
response_dict = r.json()

for keys in response_dict.keys():
    print(keys)

Status code: 200
total_count
incomplete_results
items

# continue
print("Total repositories:", response_dict['total_count'])

# Explore information about the repositories.
repo_dicts = response_dict['items']
print("Repositories returned:", len(repo_dicts))

# Examine the first repository.
repo_dict = repo_dicts[0]
print("\nKeys:", len(repo_dict))

Status code: 200
Total repositories: 10633864
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: youtube-dl
Owner: ytdl-org
Stars: 120354
Repository: https://github.com/ytdl-org/youtube-dl
Created: 2010-10-31T14:35:07Z
Updated: 2023-05-17T13:04:03Z
Description: Command-line program to download videos from YouTube.com 
and other video sites

import requests

from plotly.graph_objs import Bar
from plotly import offline

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'])

data = [{
    'type': 'bar', 
    'x': names,
    'y': stars,
}]

my_layout = {
    'title': 'Most-Starred Python Projects on GitHub',
    'xaxis': {'title': 'Repository'},
    'yaxis': {'title': 'Stars'},
}

fig = {'data': data, 'layout': my_layout}
offline.plot(fig, filename='python_repos.html')

import requests

api_key = 'Your API Key'

url=f"https://imdb-api.com/en/API/Top250Movies/{api_key}"
r = requests.get(url)
print(r.status_code)
response_dict = r.json() 

top250 = response_dict["items"]
print(top250[0])

{'id': 'tt0111161', 'rank': '1', 'title': 'The Shawshank Redemption', 
'fullTitle': 'The Shawshank Redemption (1994)', 'year': '1994', 'image': 
'https://m.media-amazon.com/images/M/MV5BNDE3ODcxYzMtY2YzZC00NmNlLWJiNDMtZD
ViZWM2MzIxZDYwXkEyXkFqcGdeQXVyNjAwNDUxODI@._V1_Ratio0.6716_AL_.jpg', 
'crew': 'Frank Darabont (dir.), Tim Robbins, Morgan Freeman', 
'imDbRating': '9.2', 'imDbRatingCount': '2739500'}

import requests

url="https://m.media-amazon.com/images/\
M/MV5BNDE3ODcxYzMtY2YzZC00NmNlLWJiNDMtZ\
DViZWM2MzIxZDYwXkEyXkFqcGdeQXVyNjAwNDUx\
ODI@._V1_Ratio0.6716_AL_.jpg"
r = requests.get(url)
if r.status_code == 200:
    with open('The Shawshank Redemption.jpg', 'wb') as f:
        f.write(r.content)
else:
    print("download failed")

import requests

api_key = 'Your API Key'

url=f"https://imdb-api.com/en/API/Top250Movies/{api_key}"
r = requests.get(url)
print(r.status_code)
response_dict = r.json() 

top250 = response_dict["items"]
top10 = top250[:10]
print(top10)

for movie in top10:
    url = movie['image']
    title = movie['title']

    r = requests.get(url)
    if r.status_code == 200:
        with open(f'{title}.jpg', 'wb') as f:
            f.write(r.content)
    else:
        print("download failed")

import requests

api_key = 'Your API Key'

url=f"https://imdb-api.com/en/API/InTheaters/{api_key}"
r = requests.get(url)
print(r.status_code)
response_dict = r.json() 

in_theaters = response_dict["items"]

for movie in in_theaters:
    url = movie['image']
    title = movie['title']
    print(title)

    r = requests.get(url)
    if r.status_code == 200:
        with open(f'{title}.jpg', 'wb') as f:
            f.write(r.content)
    else:
        print("download failed")

import requests

api_access = 'Your API Key'

page = 1
url = f"https://api.themoviedb.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(movies[0])
for key, value in movies[0].items():
    print(f"{key}: {value}")

adult: False
backdrop_path: /tmU7GeKVybMWFButWEGl2M4GeiP.jpg
genre_ids: [18, 80]
id: 238
original_language: en
original_title: The Godfather
overview: Spanning the years 1945 to 1955, a chronicle of the fictional
 Italian-American Corleone crime family. When organized crime family 
 patriarch, Vito Corleone barely survives an attempt on his life, his 
 youngest son, Michael steps in to take care of the would-be killers, 
 launching a campaign of bloody revenge.
popularity: 104.261
poster_path: /3bhkrj58Vtu7enYsRolD1fZdja1.jpg
release_date: 1972-03-14
title: The Godfather
video: False
vote_average: 8.7
vote_count: 17922

poster = movies[0]['poster_path']
img_url = f"https://image.tmdb.org/t/p/w500{poster}"
r = requests.get(img_url, headers=headers)
if r.status_code == 200:
    with open('The Godfather.jpg', 'wb') as f:
        f.write(r.content)
else:
    print("download failed")

import requests

api_access = 'Your API Key'

page = 1
url = f"https://api.themoviedb.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:
        with open(f'{title}.jpg', 'wb') as f:
            f.write(r.content)
    else:
        print("download failed")

import requests

api_access = 'Your API Key'

page = 1
url = f"https://api.themoviedb.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:
        with open(f'{title}.jpg', 'wb') as f:
            f.write(r.content)
    else:
        print("download failed")

url="http://img1.money.126.net/data/hs/kline/day/history/2022/1399001.json"

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)